capstone.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "capstone.ipynb",
      "provenance": [],
      "collapsed_sections": [],
      "authorship_tag": "ABX9TyOQIM5Lx5LH5qoNJMrCvijt",
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/patrickgabrielionescu/capstoneProject/blob/main/capstone.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gJ_igAQSFunz"
      },
      "source": [
        "# Capstone project. NLP sentiment analysis for financial news articles "
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "beOjdAt8YhS6"
      },
      "source": [
        "Downloading data from my github"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Y-rzvRVKWnGA",
        "outputId": "f94a6ca2-ecd5-490a-e108-112c846c2916"
      },
      "source": [
        "!git clone https://github.com/patrickgabrielionescu/capstoneProject.git"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Cloning into 'capstoneProject'...\n",
            "remote: Enumerating objects: 12, done.\u001b[K\n",
            "remote: Counting objects: 100% (12/12), done.\u001b[K\n",
            "remote: Compressing objects: 100% (11/11), done.\u001b[K\n",
            "remote: Total 12 (delta 1), reused 5 (delta 0), pack-reused 0\u001b[K\n",
            "Unpacking objects: 100% (12/12), done.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "F4zH4cRljKN6",
        "outputId": "92810deb-4aad-4ca1-e421-d99650522190"
      },
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import re\n",
        "import nltk\n",
        "from nltk.corpus import stopwords\n",
        "nltk.download('stopwords')\n",
        "nltk.download('punkt')\n",
        "from nltk.tokenize import word_tokenize\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn import utils\n",
        "from tqdm import tqdm\n",
        "# !ls"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[nltk_data] Downloading package stopwords to /root/nltk_data...\n",
            "[nltk_data]   Unzipping corpora/stopwords.zip.\n",
            "[nltk_data] Downloading package punkt to /root/nltk_data...\n",
            "[nltk_data]   Unzipping tokenizers/punkt.zip.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 419
        },
        "id": "rdYGZNLhjyGC",
        "outputId": "9e6d4019-d5f1-48b1-8147-059c84468a90"
      },
      "source": [
        "df = pd.read_csv('capstoneProject/all-data.csv', encoding=\"ISO-8859-1\", error_bad_lines=False)\n",
        "df = df.rename(columns={'neutral':'sentiment','According to Gran , the company has no plans to move all production to Russia , although that is where the company is growing .':'Message'})\n",
        "df"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/html": [
              "<div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>sentiment</th>\n",
              "      <th>Message</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>neutral</td>\n",
              "      <td>Technopolis plans to develop in stages an area...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>negative</td>\n",
              "      <td>The international electronic industry company ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>positive</td>\n",
              "      <td>With the new production plant the company woul...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>positive</td>\n",
              "      <td>According to the company 's updated strategy f...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>positive</td>\n",
              "      <td>FINANCING OF ASPOCOMP 'S GROWTH Aspocomp is ag...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4840</th>\n",
              "      <td>negative</td>\n",
              "      <td>LONDON MarketWatch -- Share prices ended lower...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4841</th>\n",
              "      <td>neutral</td>\n",
              "      <td>Rinkuskiai 's beer sales fell by 6.5 per cent ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4842</th>\n",
              "      <td>negative</td>\n",
              "      <td>Operating profit fell to EUR 35.4 mn from EUR ...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4843</th>\n",
              "      <td>negative</td>\n",
              "      <td>Net sales of the Paper segment decreased to EU...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4844</th>\n",
              "      <td>negative</td>\n",
              "      <td>Sales in Finland decreased by 10.5 % in Januar...</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>4845 rows × 2 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "     sentiment                                            Message\n",
              "0      neutral  Technopolis plans to develop in stages an area...\n",
              "1     negative  The international electronic industry company ...\n",
              "2     positive  With the new production plant the company woul...\n",
              "3     positive  According to the company 's updated strategy f...\n",
              "4     positive  FINANCING OF ASPOCOMP 'S GROWTH Aspocomp is ag...\n",
              "...        ...                                                ...\n",
              "4840  negative  LONDON MarketWatch -- Share prices ended lower...\n",
              "4841   neutral  Rinkuskiai 's beer sales fell by 6.5 per cent ...\n",
              "4842  negative  Operating profit fell to EUR 35.4 mn from EUR ...\n",
              "4843  negative  Net sales of the Paper segment decreased to EU...\n",
              "4844  negative  Sales in Finland decreased by 10.5 % in Januar...\n",
              "\n",
              "[4845 rows x 2 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "8XrNIm-JF3b8"
      },
      "source": [
        "# Visualizing the data"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 339
        },
        "id": "wplBuOYrkQYi",
        "outputId": "1e27fa2c-7343-49c2-d491-2ae4159784ca"
      },
      "source": [
        "cnt_pro = df['sentiment'].value_counts()\n",
        "plt.figure(figsize=(12,4))\n",
        "sns.barplot(cnt_pro.index, cnt_pro.values, alpha=0.8)\n",
        "plt.ylabel('Number of Occurrences', fontsize=12)\n",
        "plt.xlabel('sentiment', fontsize=12)\n",
        "plt.xticks(rotation=0)\n",
        "plt.show();"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.\n",
            "  FutureWarning\n"
          ],
          "name": "stderr"
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 864x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "MUUcgCWrF9IU"
      },
      "source": [
        "# Assigning sentiment values"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "F9W-ECKUksqT"
      },
      "source": [
        "sentiment = {'neutral' : 0,\n",
        "            'negative' : -1,\n",
        "            'positive' : 1}"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "lK1CuycOkxgE",
        "outputId": "a73e74bc-85a5-4ac9-9a03-f397382f7e33"
      },
      "source": [
        "df.index = range(4845)\n",
        "df['Message'].apply(lambda x: len(x.split(' '))).sum()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "111964"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "zo5mPdcfkzM4"
      },
      "source": [
        "num_words = df['Message'].apply(lambda x: len(x.split()))\n",
        "num_words_mean, num_words_std = np.mean(num_words), np.std(num_words)\n",
        "\n",
        "num_sentences = df['Message'].apply(lambda x: len(re.split( '~ ...' ,'~'.join(x.split('.')))))\n",
        "num_sentences_mean = np.mean(num_sentences)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "J7WUBuUgk06U",
        "outputId": "16ad8449-380c-463a-e459-10482639ae67"
      },
      "source": [
        "print(\"The number of words in each data point\\n\")\n",
        "print(num_words)\n",
        "print('The number of sentences in each data point \\n')\n",
        "print(num_sentences)\n",
        "print(\"The mean number of sentences: \\n\")\n",
        "print(num_sentences_mean)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "The number of words in each data point\n",
            "\n",
            "0       31\n",
            "1       36\n",
            "2       33\n",
            "3       41\n",
            "4       25\n",
            "        ..\n",
            "4840    26\n",
            "4841    30\n",
            "4842    23\n",
            "4843    44\n",
            "4844    19\n",
            "Name: Message, Length: 4845, dtype: int64\n",
            "The number of sentences in each data point \n",
            "\n",
            "0       1\n",
            "1       1\n",
            "2       1\n",
            "3       1\n",
            "4       1\n",
            "       ..\n",
            "4840    1\n",
            "4841    1\n",
            "4842    1\n",
            "4843    1\n",
            "4844    1\n",
            "Name: Message, Length: 4845, dtype: int64\n",
            "The mean number of sentences: \n",
            "\n",
            "1.0615067079463365\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MAtU02H_k2kI",
        "outputId": "277df5ff-5844-45f0-96a1-16d11fe5387a"
      },
      "source": [
        "all_words = list(df['Message'].str.lower().str.split(' ', expand=True).stack().unique())\n",
        "all_words"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['technopolis',\n",
              " 'plans',\n",
              " 'to',\n",
              " 'develop',\n",
              " 'in',\n",
              " 'stages',\n",
              " 'an',\n",
              " 'area',\n",
              " 'of',\n",
              " 'no',\n",
              " 'less',\n",
              " 'than',\n",
              " '100,000',\n",
              " 'square',\n",
              " 'meters',\n",
              " 'order',\n",
              " 'host',\n",
              " 'companies',\n",
              " 'working',\n",
              " 'computer',\n",
              " 'technologies',\n",
              " 'and',\n",
              " 'telecommunications',\n",
              " ',',\n",
              " 'the',\n",
              " 'statement',\n",
              " 'said',\n",
              " '.',\n",
              " 'international',\n",
              " 'electronic',\n",
              " 'industry',\n",
              " 'company',\n",
              " 'elcoteq',\n",
              " 'has',\n",
              " 'laid',\n",
              " 'off',\n",
              " 'tens',\n",
              " 'employees',\n",
              " 'from',\n",
              " 'its',\n",
              " 'tallinn',\n",
              " 'facility',\n",
              " ';',\n",
              " 'contrary',\n",
              " 'earlier',\n",
              " 'layoffs',\n",
              " 'contracted',\n",
              " 'ranks',\n",
              " 'office',\n",
              " 'workers',\n",
              " 'daily',\n",
              " 'postimees',\n",
              " 'reported',\n",
              " 'with',\n",
              " 'new',\n",
              " 'production',\n",
              " 'plant',\n",
              " 'would',\n",
              " 'increase',\n",
              " 'capacity',\n",
              " 'meet',\n",
              " 'expected',\n",
              " 'demand',\n",
              " 'improve',\n",
              " 'use',\n",
              " 'raw',\n",
              " 'materials',\n",
              " 'therefore',\n",
              " 'profitability',\n",
              " 'according',\n",
              " \"'s\",\n",
              " 'updated',\n",
              " 'strategy',\n",
              " 'for',\n",
              " 'years',\n",
              " '2009-2012',\n",
              " 'basware',\n",
              " 'targets',\n",
              " 'a',\n",
              " 'long-term',\n",
              " 'net',\n",
              " 'sales',\n",
              " 'growth',\n",
              " 'range',\n",
              " '20',\n",
              " '%',\n",
              " '-40',\n",
              " 'operating',\n",
              " 'profit',\n",
              " 'margin',\n",
              " '10',\n",
              " '-20',\n",
              " 'financing',\n",
              " 'aspocomp',\n",
              " 'is',\n",
              " 'aggressively',\n",
              " 'pursuing',\n",
              " 'by',\n",
              " 'increasingly',\n",
              " 'focusing',\n",
              " 'on',\n",
              " 'technologically',\n",
              " 'more',\n",
              " 'demanding',\n",
              " 'hdi',\n",
              " 'printed',\n",
              " 'circuit',\n",
              " 'boards',\n",
              " 'pcbs',\n",
              " 'last',\n",
              " 'quarter',\n",
              " '2010',\n",
              " 'componenta',\n",
              " 'doubled',\n",
              " 'eur131m',\n",
              " 'eur76m',\n",
              " 'same',\n",
              " 'period',\n",
              " 'year',\n",
              " 'while',\n",
              " 'it',\n",
              " 'moved',\n",
              " 'zero',\n",
              " 'pre-tax',\n",
              " 'loss',\n",
              " 'eur7m',\n",
              " 'third',\n",
              " 'increased',\n",
              " '5.2',\n",
              " 'eur',\n",
              " '205.5',\n",
              " 'mn',\n",
              " '34.9',\n",
              " '23.5',\n",
              " 'rose',\n",
              " '13.1',\n",
              " '8.7',\n",
              " 'corresponding',\n",
              " '2007',\n",
              " 'representing',\n",
              " '7.7',\n",
              " 'totalled',\n",
              " '21.1',\n",
              " 'up',\n",
              " '18.6',\n",
              " '9.7',\n",
              " 'teliasonera',\n",
              " 'tlsn',\n",
              " 'offer',\n",
              " 'line',\n",
              " 'ownership',\n",
              " 'core',\n",
              " 'business',\n",
              " 'holdings',\n",
              " 'strengthen',\n",
              " 'eesti',\n",
              " 'telekom',\n",
              " 'offering',\n",
              " 'customers',\n",
              " 'stora',\n",
              " 'enso',\n",
              " 'norske',\n",
              " 'skog',\n",
              " 'm-real',\n",
              " 'upm-kymmene',\n",
              " 'credit',\n",
              " 'suisse',\n",
              " 'first',\n",
              " 'boston',\n",
              " '(',\n",
              " 'cfsb',\n",
              " ')',\n",
              " 'raised',\n",
              " 'fair',\n",
              " 'value',\n",
              " 'shares',\n",
              " 'four',\n",
              " 'largest',\n",
              " 'nordic',\n",
              " 'forestry',\n",
              " 'groups',\n",
              " 'purchase',\n",
              " 'agreement',\n",
              " '7,200',\n",
              " 'tons',\n",
              " 'gasoline',\n",
              " 'delivery',\n",
              " 'at',\n",
              " 'hamina',\n",
              " 'terminal',\n",
              " 'finland',\n",
              " 'was',\n",
              " 'signed',\n",
              " 'neste',\n",
              " 'oil',\n",
              " 'oyj',\n",
              " 'average',\n",
              " 'platts',\n",
              " 'index',\n",
              " 'this',\n",
              " 'september',\n",
              " 'plus',\n",
              " 'eight',\n",
              " 'us',\n",
              " 'dollars',\n",
              " 'per',\n",
              " 'month',\n",
              " 'finnish',\n",
              " 'talentum',\n",
              " 'reports',\n",
              " '20.5',\n",
              " '2005',\n",
              " '9.3',\n",
              " '2004',\n",
              " 'totaled',\n",
              " '103.3',\n",
              " '96.4',\n",
              " 'clothing',\n",
              " 'retail',\n",
              " 'chain',\n",
              " 'sepp+æl+æ',\n",
              " '8',\n",
              " '155.2',\n",
              " '31.1',\n",
              " '17.1',\n",
              " 'consolidated',\n",
              " '16',\n",
              " 'reach',\n",
              " 'eur74',\n",
              " '.8',\n",
              " 'm',\n",
              " 'amounted',\n",
              " 'eur0',\n",
              " '.9',\n",
              " 'compared',\n",
              " '.7',\n",
              " 'prior',\n",
              " 'foundries',\n",
              " 'division',\n",
              " '63.1',\n",
              " '57.5',\n",
              " '2006',\n",
              " 'machine',\n",
              " 'shop',\n",
              " '16.4',\n",
              " '41.2',\n",
              " '35.4',\n",
              " 'helsinki',\n",
              " 'afx',\n",
              " '-',\n",
              " 'closed',\n",
              " 'higher',\n",
              " 'led',\n",
              " 'nokia',\n",
              " 'after',\n",
              " 'announced',\n",
              " 'team',\n",
              " 'sanyo',\n",
              " 'manufacture',\n",
              " '3g',\n",
              " 'handsets',\n",
              " 'nokian',\n",
              " 'tyres',\n",
              " 'fourth-quarter',\n",
              " 'earnings',\n",
              " 'report',\n",
              " 'beat',\n",
              " 'analysts',\n",
              " \"'\",\n",
              " 'expectations',\n",
              " 'dealers',\n",
              " 'incap',\n",
              " 'contract',\n",
              " 'manufacturing',\n",
              " 'services',\n",
              " 'pvt',\n",
              " 'ltd',\n",
              " 'subsidiary',\n",
              " 'corporation',\n",
              " 'double',\n",
              " 'revenues',\n",
              " '2007-2008',\n",
              " 'board',\n",
              " 'directors',\n",
              " 'will',\n",
              " 'propose',\n",
              " 'dividend',\n",
              " '.12',\n",
              " 'share',\n",
              " '.08',\n",
              " 'paid',\n",
              " '2009',\n",
              " 'lifetree',\n",
              " 'founded',\n",
              " '2000',\n",
              " 'have',\n",
              " 'risen',\n",
              " '40',\n",
              " 'margins',\n",
              " 'late',\n",
              " '30s',\n",
              " 'filippova',\n",
              " 'trilateral',\n",
              " 'investment',\n",
              " 'construction',\n",
              " 'technology',\n",
              " 'park',\n",
              " 'st',\n",
              " 'petersburg',\n",
              " 'been',\n",
              " 'course',\n",
              " 'forum',\n",
              " 'days',\n",
              " 'russian',\n",
              " 'economy',\n",
              " 'that',\n",
              " 'opened',\n",
              " 'today',\n",
              " 'megafon',\n",
              " 'subscriber',\n",
              " 'base',\n",
              " '16.1',\n",
              " '50.5',\n",
              " 'million',\n",
              " 'users',\n",
              " 'as',\n",
              " 'december',\n",
              " '31',\n",
              " 'market',\n",
              " 'number',\n",
              " '24',\n",
              " '23',\n",
              " '2008',\n",
              " 'estimates',\n",
              " 'income',\n",
              " 'life',\n",
              " 'insurance',\n",
              " '6.8',\n",
              " '3.2',\n",
              " 'non-life',\n",
              " '1.5',\n",
              " 'eur193',\n",
              " '.3',\n",
              " 'eur179',\n",
              " 'pretax',\n",
              " '34.2',\n",
              " 'eur43',\n",
              " '.1',\n",
              " 'm.',\n",
              " 'eur1',\n",
              " '=',\n",
              " 'usd1',\n",
              " '.4',\n",
              " 'surged',\n",
              " '18.5',\n",
              " 'eur167',\n",
              " 'teleste',\n",
              " 'eur20',\n",
              " 'or',\n",
              " '12.2',\n",
              " 'came',\n",
              " 'acquisitions',\n",
              " 'made',\n",
              " 'nordea',\n",
              " 'group',\n",
              " '18',\n",
              " 'percent',\n",
              " 'year-on-year',\n",
              " '3.64',\n",
              " 'billion',\n",
              " 'euros',\n",
              " 'total',\n",
              " 'revenue',\n",
              " '3',\n",
              " '9.33',\n",
              " 'nine-month',\n",
              " 'eur13',\n",
              " '.6',\n",
              " 'eur394',\n",
              " 'eur3',\n",
              " 'eur61',\n",
              " '.5',\n",
              " 'three-month',\n",
              " '.2',\n",
              " 'brazilian',\n",
              " 'unit',\n",
              " 'security',\n",
              " 'solutions',\n",
              " 'provider',\n",
              " 'f-secure',\n",
              " '1,500',\n",
              " 'clients',\n",
              " 'online',\n",
              " 'news',\n",
              " 'source',\n",
              " 'reseller',\n",
              " 'web',\n",
              " 'quoted',\n",
              " 'commercial',\n",
              " 'director',\n",
              " 'vladimir',\n",
              " 'brand+_o',\n",
              " 'saying',\n",
              " '11.4',\n",
              " '82.2',\n",
              " '686.5',\n",
              " '13.8',\n",
              " 'lithuanian',\n",
              " 'beer',\n",
              " '14.41',\n",
              " 'liters',\n",
              " 'january',\n",
              " 'rise',\n",
              " '0.8',\n",
              " 'year-earlier',\n",
              " 'figure',\n",
              " 'brewers',\n",
              " 'association',\n",
              " 'reporting',\n",
              " 'citing',\n",
              " 'results',\n",
              " 'members',\n",
              " 'viking',\n",
              " 'cargo',\n",
              " '5.4',\n",
              " '21.46',\n",
              " 'volume',\n",
              " '2.4',\n",
              " '70,116',\n",
              " 'units',\n",
              " 'property',\n",
              " 'portfolio',\n",
              " 'result',\n",
              " 'kapiteeli',\n",
              " 'acquisition',\n",
              " '2,686.2',\n",
              " '1,259.7',\n",
              " 'february',\n",
              " '2011',\n",
              " 'media',\n",
              " 'sanoma',\n",
              " 'hel',\n",
              " ':',\n",
              " 'saa1v',\n",
              " 'yesterday',\n",
              " 'almost',\n",
              " 'tripled',\n",
              " 'eur297',\n",
              " 'eur107',\n",
              " 'proposal',\n",
              " 'payout',\n",
              " 'eliiv',\n",
              " 'eps',\n",
              " '.13',\n",
              " 'over',\n",
              " 'aspo',\n",
              " 'plc',\n",
              " 'stock',\n",
              " 'exchange',\n",
              " 'release',\n",
              " '11',\n",
              " 'at8',\n",
              " '.45',\n",
              " 'a.m.',\n",
              " 'esl',\n",
              " 'shipping',\n",
              " 'part',\n",
              " 'rautaruukki',\n",
              " 'marine',\n",
              " 'transport',\n",
              " 'baltic',\n",
              " 'sea',\n",
              " 'commission',\n",
              " '22',\n",
              " '4.4',\n",
              " 'lending',\n",
              " '13.5',\n",
              " 'traffic',\n",
              " 'measured',\n",
              " 'passenger',\n",
              " 'kilometres',\n",
              " 'rpk',\n",
              " 'went',\n",
              " 'available',\n",
              " 'seat',\n",
              " 'ask',\n",
              " 'january-september',\n",
              " 'fiskars',\n",
              " '14',\n",
              " '65.4',\n",
              " '525.3',\n",
              " '487.7',\n",
              " '16.5',\n",
              " '14.0',\n",
              " '22.6',\n",
              " '15.2',\n",
              " 'nyrstar',\n",
              " 'also',\n",
              " 'agreed',\n",
              " 'supply',\n",
              " 'talvivaara',\n",
              " '150,000',\n",
              " 'tonnes',\n",
              " 'sulphuric',\n",
              " 'acid',\n",
              " 'annum',\n",
              " 'leaching',\n",
              " 'process',\n",
              " 'during',\n",
              " 'zinc',\n",
              " 'concentrate',\n",
              " 'both',\n",
              " 'department',\n",
              " 'store',\n",
              " 'hobby',\n",
              " 'hall',\n",
              " '7',\n",
              " 'seppala',\n",
              " 'decreased',\n",
              " '4',\n",
              " 'other',\n",
              " 'export',\n",
              " 'markets',\n",
              " 'due',\n",
              " 'growing',\n",
              " 'rates',\n",
              " 'operations',\n",
              " 'strengthens',\n",
              " 'our',\n",
              " 'partnership',\n",
              " 'siemens',\n",
              " 'networks',\n",
              " 'biohit',\n",
              " 'healthcare',\n",
              " 'uk-based',\n",
              " 'public',\n",
              " 'which',\n",
              " 'develops',\n",
              " 'manufactures',\n",
              " 'liquid',\n",
              " 'handling',\n",
              " 'products',\n",
              " 'diagnostic',\n",
              " 'test',\n",
              " 'systems',\n",
              " 'already',\n",
              " 'carried',\n",
              " 'out',\n",
              " 'investments',\n",
              " 'lead',\n",
              " 'when',\n",
              " 'they',\n",
              " 'reached',\n",
              " '141.7',\n",
              " 'book',\n",
              " 'stood',\n",
              " 'bln',\n",
              " 'euro',\n",
              " '$',\n",
              " '2.2',\n",
              " '30',\n",
              " '24.2',\n",
              " 'pct',\n",
              " 'orders',\n",
              " 'amounting',\n",
              " '365',\n",
              " 'mln',\n",
              " '534.3',\n",
              " 'paper',\n",
              " 'all',\n",
              " 'main',\n",
              " 'including',\n",
              " 'publication',\n",
              " 'papers',\n",
              " 'prices',\n",
              " 'world',\n",
              " 'second',\n",
              " 'stainless',\n",
              " 'steel',\n",
              " 'maker',\n",
              " 'until',\n",
              " 'dec.',\n",
              " 'euro603',\n",
              " 'us$',\n",
              " '781',\n",
              " 'euro3',\n",
              " '.33',\n",
              " '4.31',\n",
              " 'euro172',\n",
              " 'euro0',\n",
              " '.94',\n",
              " 'previous',\n",
              " 'within',\n",
              " 'framework',\n",
              " 'initial',\n",
              " 'sitronics',\n",
              " 'jsc',\n",
              " 'mikron',\n",
              " 'manufacturer',\n",
              " 'exporter',\n",
              " 'microelectronic',\n",
              " 'components',\n",
              " 'russia',\n",
              " '0.2',\n",
              " 'eur10',\n",
              " 'down',\n",
              " 'eur6',\n",
              " 'abroad',\n",
              " '6.2',\n",
              " 'countries',\n",
              " 'well',\n",
              " 'ukraine',\n",
              " 'standard',\n",
              " 'chartered',\n",
              " 'stan',\n",
              " '1.2',\n",
              " 'ftse',\n",
              " '100',\n",
              " 'royal',\n",
              " 'bank',\n",
              " 'scotland',\n",
              " 'rbs',\n",
              " '2',\n",
              " 'barclays',\n",
              " 'barc',\n",
              " 'bcs',\n",
              " 'were',\n",
              " '1.7',\n",
              " 'corp.',\n",
              " 'thursday',\n",
              " 'cell',\n",
              " 'phone',\n",
              " 'third-quarter',\n",
              " 'global',\n",
              " 'handset',\n",
              " 'financial',\n",
              " 'published',\n",
              " 'friday',\n",
              " 'seb',\n",
              " 'soared',\n",
              " 'sek6',\n",
              " '.745',\n",
              " 'bn',\n",
              " 'sek1',\n",
              " '.114',\n",
              " 'proposed',\n",
              " '50',\n",
              " '.50',\n",
              " '15',\n",
              " 'meanwhile',\n",
              " '12',\n",
              " 'request',\n",
              " 'alma',\n",
              " 'newspapers',\n",
              " 'research',\n",
              " 'manager',\n",
              " 'jari',\n",
              " 'kaivo-oja',\n",
              " 'futures',\n",
              " 'centre',\n",
              " 'turku',\n",
              " 'school',\n",
              " 'economics',\n",
              " 'drawn',\n",
              " 'future',\n",
              " 'scenario',\n",
              " 'national',\n",
              " 'using',\n",
              " 'model',\n",
              " 'developed',\n",
              " 'university',\n",
              " 'denver',\n",
              " 'sweden',\n",
              " 'gallerix',\n",
              " 'accumulated',\n",
              " 'sek',\n",
              " 'denominated',\n",
              " '1',\n",
              " 'supports',\n",
              " 'developing',\n",
              " 'offers',\n",
              " 'fast',\n",
              " 'route',\n",
              " 'product',\n",
              " 'development',\n",
              " 'applications',\n",
              " 'place',\n",
              " 'atria',\n",
              " 'expand',\n",
              " 'into',\n",
              " 'moscow',\n",
              " '``',\n",
              " 'continuation',\n",
              " 'theagreement',\n",
              " 'lemminkainen',\n",
              " 'whereby',\n",
              " 'cramo',\n",
              " 'acquired',\n",
              " 'entire',\n",
              " 'fleet',\n",
              " 'oflemminkainen',\n",
              " 'talo',\n",
              " 'oy',\n",
              " 'ita',\n",
              " 'ja',\n",
              " 'pohjois',\n",
              " 'suomo',\n",
              " 'asimilar',\n",
              " \"''\",\n",
              " 'tatu',\n",
              " 'hauhio',\n",
              " 'managing',\n",
              " 'ofcramo',\n",
              " 'envisaged',\n",
              " 'three',\n",
              " 'ferryboats',\n",
              " 'option',\n",
              " 'two',\n",
              " 'further',\n",
              " 'confirmed',\n",
              " '500',\n",
              " '645.8',\n",
              " 'june',\n",
              " 'sold',\n",
              " 'stake',\n",
              " 'nordstjernan',\n",
              " 'now',\n",
              " 'taken',\n",
              " 'acquire',\n",
              " 'eqt',\n",
              " 'remaining',\n",
              " 'kesko',\n",
              " '28.02.2008',\n",
              " '09.30',\n",
              " 'acquires',\n",
              " 'capital',\n",
              " 'kauko-telko',\n",
              " 'wholly',\n",
              " 'owned',\n",
              " 'sponda',\n",
              " '5',\n",
              " '15.45',\n",
              " 'syndicated',\n",
              " 'one-year',\n",
              " 'announcement',\n",
              " 'july',\n",
              " 'subscriptions',\n",
              " 'warrants',\n",
              " '119',\n",
              " '850',\n",
              " 'subscribed',\n",
              " 'warrant',\n",
              " 'program',\n",
              " 'covers',\n",
              " 'hdo',\n",
              " 'platform',\n",
              " 'ac800',\n",
              " 'cxe880',\n",
              " 'optical',\n",
              " 'fttb',\n",
              " 'nodes',\n",
              " 'designed',\n",
              " 'forward',\n",
              " 'return',\n",
              " 'path',\n",
              " 'transmission',\n",
              " 'planned',\n",
              " 'electricity',\n",
              " 'generation',\n",
              " '350',\n",
              " 'megawatts',\n",
              " 'mw',\n",
              " 'heat',\n",
              " 'omx',\n",
              " '25',\n",
              " '0.92',\n",
              " '2,518.67',\n",
              " 'cap',\n",
              " '0.91',\n",
              " '4,711.19',\n",
              " 'so',\n",
              " 'cars',\n",
              " 'considerably',\n",
              " 'influence',\n",
              " 'tires',\n",
              " 'maximum',\n",
              " '666,104',\n",
              " 'can',\n",
              " 'be',\n",
              " 'exercising',\n",
              " 'b',\n",
              " 'options',\n",
              " 'under',\n",
              " 'plan',\n",
              " 'issue',\n",
              " 'increases',\n",
              " '391,630',\n",
              " '15,665.20',\n",
              " 'real',\n",
              " 'estate',\n",
              " 'investor',\n",
              " 'wednesday',\n",
              " 'march',\n",
              " 'agreements',\n",
              " 'danske',\n",
              " 'a-s',\n",
              " 'branch',\n",
              " '7-year',\n",
              " 'eur150m',\n",
              " 'ilmarinen',\n",
              " 'mutual',\n",
              " 'pension',\n",
              " 'eur50m',\n",
              " 'between',\n",
              " 'estonia',\n",
              " 'volumes',\n",
              " '36',\n",
              " 'fell',\n",
              " '9',\n",
              " 'measures',\n",
              " 'included',\n",
              " 'increasing',\n",
              " 'synergies',\n",
              " 'economies',\n",
              " 'scale',\n",
              " 'grimaldi',\n",
              " 'personnel',\n",
              " 'adjustments',\n",
              " 'divestments',\n",
              " 'redelivery',\n",
              " 'excess',\n",
              " 'tonnage',\n",
              " 'rinkuskiai',\n",
              " '18.1',\n",
              " '1.37',\n",
              " 'kauno',\n",
              " 'alus',\n",
              " 'grew',\n",
              " '14.3',\n",
              " '960,000',\n",
              " 'telecomworldwire-7',\n",
              " 'april',\n",
              " '2006-tj',\n",
              " 'sells',\n",
              " 'morning',\n",
              " 'digital',\n",
              " 'design',\n",
              " 'tj',\n",
              " 'had',\n",
              " 'selling',\n",
              " 'edita',\n",
              " '718,430',\n",
              " 'series',\n",
              " 'become',\n",
              " 'subject',\n",
              " 'trading',\n",
              " 'list',\n",
              " 'together',\n",
              " 'old',\n",
              " 'fuel',\n",
              " 'contracts',\n",
              " 'months',\n",
              " 'november',\n",
              " 'tiimari',\n",
              " 'operates',\n",
              " '194',\n",
              " 'stores',\n",
              " 'six',\n",
              " '--',\n",
              " 'generated',\n",
              " 'turnover',\n",
              " '76.5',\n",
              " 'becomes',\n",
              " 'focus',\n",
              " 'supplier',\n",
              " 'pipettors',\n",
              " 'disposable',\n",
              " 'pipettor',\n",
              " 'tips',\n",
              " 'vwr',\n",
              " 'throughout',\n",
              " 'europe',\n",
              " 'combination',\n",
              " 'enabling',\n",
              " 'complex',\n",
              " 'strengthened',\n",
              " 'service',\n",
              " 'not',\n",
              " 'only',\n",
              " 'limited',\n",
              " 'port',\n",
              " 'connections',\n",
              " 'but',\n",
              " 'getting',\n",
              " 'access',\n",
              " 'wide',\n",
              " 'network',\n",
              " 'mediterranean',\n",
              " 'africa',\n",
              " 'north',\n",
              " 'america',\n",
              " 'says',\n",
              " 'uwe',\n",
              " 'bakosch',\n",
              " 'blind-spots',\n",
              " 'coming',\n",
              " 'vantage',\n",
              " 'point',\n",
              " 'allows',\n",
              " 'investigators',\n",
              " 'see',\n",
              " 'whole',\n",
              " 'story',\n",
              " 'high',\n",
              " 'resolution',\n",
              " 'unbroken',\n",
              " 'video',\n",
              " 'still',\n",
              " 'expects',\n",
              " 'slightly',\n",
              " 'level',\n",
              " 'adding',\n",
              " 'predictability',\n",
              " 'too',\n",
              " 'poor',\n",
              " 'trustworthy',\n",
              " 'forecasts',\n",
              " 'current',\n",
              " 'kemira',\n",
              " 'position',\n",
              " 'metal',\n",
              " 'coatings',\n",
              " 'finnlines',\n",
              " '505.4',\n",
              " '473.5',\n",
              " 'adjusted',\n",
              " 'changes',\n",
              " 'structure',\n",
              " 'change',\n",
              " 'optimize',\n",
              " 'operational',\n",
              " 'efficiencies',\n",
              " 'julia',\n",
              " 'prohaska',\n",
              " 'marketing',\n",
              " 'communications',\n",
              " 'invest',\n",
              " 'physical',\n",
              " 'infrastructure',\n",
              " 'provide',\n",
              " 'know-how',\n",
              " 'science',\n",
              " 'parks',\n",
              " 'sunrise',\n",
              " 'valley',\n",
              " 'andrius',\n",
              " 'bagdonas',\n",
              " 'broadband',\n",
              " 'data',\n",
              " 'communication',\n",
              " 'tlt1v',\n",
              " 'saw',\n",
              " 'jump',\n",
              " 'eur2',\n",
              " 'eur995',\n",
              " ',000',\n",
              " 'aktia',\n",
              " '17.5',\n",
              " '8.2',\n",
              " '+_land',\n",
              " '4.8',\n",
              " '6.4',\n",
              " '44.4',\n",
              " '37.3',\n",
              " 'vaahto',\n",
              " '41.8',\n",
              " 'accounting',\n",
              " '11.2',\n",
              " 'food',\n",
              " 'l+ænnen',\n",
              " 'tehtaat',\n",
              " 'continuing',\n",
              " '13',\n",
              " '349.1',\n",
              " '309.6',\n",
              " 'individual',\n",
              " 'promotion',\n",
              " 'higher-than-expected',\n",
              " 'many',\n",
              " 'genesis',\n",
              " 'customer',\n",
              " 'respectively',\n",
              " 'eur8',\n",
              " 'circulation',\n",
              " '7.0',\n",
              " '30.8',\n",
              " 'grow',\n",
              " 'rate',\n",
              " '10-15',\n",
              " 'annually',\n",
              " ...]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 9
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "Rk8SP7JSk4vr"
      },
      "source": [
        "# Clean digits\n",
        "text = ''.join([i for i in df['Message'] if not i.isdigit()])\n",
        "\n",
        "# Clean punctuation and symbols\n",
        "text = re.sub(\"[!@#$+%*:()'-]\", ' ', text)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "48oOYKIyGbLq"
      },
      "source": [
        "Tokenizing the texts"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Rd0dTREuk7LA",
        "outputId": "b0b32532-36be-447d-88dd-63bb85d83caf"
      },
      "source": [
        "text_tokens = word_tokenize(text)\n",
        "tokens_without_sw = [word for word in text_tokens if not word in stopwords.words()]\n",
        "#sw - stop words\n",
        "print(tokens_without_sw)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "['Technopolis', 'plans', 'develop', 'stages', 'area', 'less', '100,000', 'square', 'meters', 'order', 'host', 'companies', 'working', 'computer', 'technologies', 'telecommunications', ',', 'statement', 'said', '.The', 'international', 'electronic', 'industry', 'company', 'Elcoteq', 'laid', 'tens', 'employees', 'Tallinn', 'facility', ';', 'contrary', 'earlier', 'layoffs', 'company', 'contracted', 'ranks', 'office', 'workers', ',', 'daily', 'Postimees', 'reported', '.With', 'new', 'production', 'plant', 'company', 'would', 'increase', 'capacity', 'meet', 'expected', 'increase', 'demand', 'would', 'improve', 'use', 'raw', 'materials', 'therefore', 'increase', 'production', 'profitability', '.According', 'company', 'updated', 'strategy', 'years', '2009', '2012', ',', 'Basware', 'targets', 'long', 'term', 'net', 'sales', 'growth', 'range', '20', '40', 'operating', 'profit', 'margin', '10', '20', 'net', 'sales', '.FINANCING', 'OF', 'ASPOCOMP', 'S', 'GROWTH', 'Aspocomp', 'aggressively', 'pursuing', 'growth', 'strategy', 'increasingly', 'focusing', 'technologically', 'demanding', 'HDI', 'printed', 'circuit', 'boards', 'PCBs', '.For', 'last', 'quarter', '2010', ',', 'Componenta', 'net', 'sales', 'doubled', 'EUR131m', 'EUR76m', 'period', 'year', 'earlier', ',', 'moved', 'zero', 'pre', 'tax', 'profit', 'pre', 'tax', 'loss', 'EUR7m', '.In', 'third', 'quarter', '2010', ',', 'net', 'sales', 'increased', '5.2', 'EUR', '205.5', 'mn', ',', 'operating', 'profit', '34.9', 'EUR', '23.5', 'mn', '.Operating', 'profit', 'rose', 'EUR', '13.1', 'mn', 'EUR', '8.7', 'mn', 'corresponding', 'period', '2007', 'representing', '7.7', 'net', 'sales', '.Operating', 'profit', 'totalled', 'EUR', '21.1', 'mn', ',', 'EUR', '18.6', 'mn', '2007', ',', 'representing', '9.7', 'net', 'sales', '.TeliaSonera', 'TLSN', 'said', 'offer', 'line', 'strategy', 'increase', 'ownership', 'core', 'business', 'holdings', 'would', 'strengthen', 'Eesti', 'Telekom', 'offering', 'customers', '.STORA', 'ENSO', ',', 'NORSKE', 'SKOG', ',', 'M', 'REAL', ',', 'UPM', 'KYMMENE', 'Credit', 'Suisse', 'First', 'Boston', 'CFSB', 'raised', 'fair', 'value', 'shares', 'four', 'largest', 'Nordic', 'forestry', 'groups', '.A', 'purchase', 'agreement', '7,200', 'tons', 'gasoline', 'delivery', 'Hamina', 'terminal', ',', 'Finland', ',', 'signed', 'Neste', 'Oil', 'OYj', 'average', 'Platts', 'index', 'September', 'plus', 'eight', 'US', 'dollars', 'month', '.Finnish', 'Talentum', 'reports', 'operating', 'profit', 'increased', 'EUR', '20.5', 'mn', '2005', 'EUR', '9.3', 'mn', '2004', ',', 'net', 'sales', 'totaled', 'EUR', '103.3', 'mn', ',', 'EUR', '96.4', 'mn', '.Clothing', 'retail', 'chain', 'Sepp', 'Æl', 'Æ', 'sales', 'increased', '8', 'EUR', '155.2', 'mn', ',', 'operating', 'profit', 'rose', 'EUR', '31.1', 'mn', 'EUR', '17.1', 'mn', '2004', '.Consolidated', 'net', 'sales', 'increased', '16', 'reach', 'EUR74', '.8', ',', 'operating', 'profit', 'amounted', 'EUR0', '.9', 'compared', 'loss', 'EUR0', '.7', 'prior', 'year', 'period', '.Foundries', 'division', 'reports', 'sales', 'increased', '9.7', 'EUR', '63.1', 'mn', 'EUR', '57.5', 'mn', 'corresponding', 'period', '2006', ',', 'sales', 'Machine', 'Shop', 'division', 'increased', '16.4', 'EUR', '41.2', 'mn', 'EUR', '35.4', 'mn', 'corresponding', 'period', '2006', '.HELSINKI', 'AFX', 'Shares', 'closed', 'higher', ',', 'led', 'Nokia', 'announced', 'plans', 'team', 'Sanyo', 'manufacture', '3G', 'handsets', ',', 'Nokian', 'Tyres', 'fourth', 'quarter', 'earnings', 'report', 'beat', 'analysts', 'expectations', ',', 'dealers', 'said', '.Incap', 'Contract', 'Manufacturing', 'Services', 'Pvt', 'Ltd', ',', 'subsidiary', 'Incap', 'Corporation', 'Finland', ',', 'plans', 'double', 'revenues', '2007', '2008', '.Its', 'board', 'directors', 'propose', 'dividend', 'EUR0', '.12', 'share', '2010', ',', 'EUR0', '.08', 'share', 'paid', '2009', '.Lifetree', 'founded', '2000', ',', 'revenues', 'risen', 'average', '40', 'margins', 'late', '30s', '.', 'Filippova', 'A', 'trilateral', 'agreement', 'investment', 'construction', 'technology', 'park', 'St', 'Petersburg', 'signed', 'course', 'forum', ',', 'Days', 'Russian', 'Economy', ',', 'opened', 'Helsinki', 'today', '.MegaFon', 'subscriber', 'base', 'increased', '16.1', '2009', '50.5', 'million', 'users', 'December', '31', ',', 'market', 'share', 'number', 'customers', 'amounted', '24', 'late', '2009', ',', '23', 'late', '2008', ',', 'according', 'TeliaSonera', 'estimates', '.Net', 'income', 'life', 'insurance', 'doubled', 'EUR', '6.8', 'mn', 'EUR', '3.2', 'mn', ',', 'net', 'income', 'life', 'insurance', 'rose', 'EUR', '5.2', 'mn', 'EUR', '1.5', 'mn', 'corresponding', 'period', '2009', '.Net', 'sales', 'increased', 'EUR193', '.3', 'EUR179', '.9', 'pretax', 'profit', 'rose', '34.2', 'EUR43', '.1', 'm.', 'EUR1', '=', 'USD1', '.4', 'Net', 'sales', 'surged', '18.5', 'EUR167', '.8', 'm.', 'Teleste', 'said', 'EUR20', '.4', ',', '12.2', ',', 'sales', 'came', 'acquisitions', 'made', '2009', '.Nordea', 'Group', 'operating', 'profit', 'increased', '2010', '18', 'percent', 'year', 'year', '3.64', 'billion', 'euros', 'total', 'revenue', '3', 'percent', '9.33', 'billion', 'euros', '.Operating', 'profit', 'nine', 'month', 'period', 'increased', 'EUR13', '.6', ',', 'net', 'sales', 'increased', 'EUR394', '.7', ',', 'compared', 'corresponding', 'period', '2005', '.Operating', 'profit', 'nine', 'month', 'period', 'increased', 'EUR3', '.1', 'net', 'sales', 'increased', 'EUR61', '.5', ',', 'compared', 'corresponding', 'period', '2007', '.Operating', 'profit', 'three', 'month', 'period', 'increased', 'EUR1', '.2', ',', 'revenue', 'increased', 'EUR20', '.2', ',', 'compared', 'corresponding', 'period', '2005', '.The', 'Brazilian', 'unit', 'Finnish', 'security', 'solutions', 'provider', 'F', 'Secure', 'signed', '1,500', 'new', 'clients', 'last', 'year', ',', 'online', 'news', 'source', 'Reseller', 'Web', 'quoted', 'division', 'commercial', 'director', ',', 'Vladimir', 'Brand', '_o', ',', 'saying', '.The', 'company', 'net', 'profit', 'rose', '11.4', 'year', '82.2', 'million', 'euros', '2005', 'sales', '686.5', 'million', 'euros', ',', '13.8', 'year', ',', 'company', 'said', 'earlier', '.The', 'Lithuanian', 'beer', 'market', 'made', '14.41', 'million', 'liters', 'January', ',', 'rise', '0.8', 'percent', 'year', 'earlier', 'figure', ',', 'Lithuanian', 'Brewers', 'Association', 'reporting', 'citing', 'results', 'members', '.Viking', 'Line', 'cargo', 'revenue', 'increased', '5.4', 'EUR', '21.46', 'mn', ',', 'cargo', 'volume', 'increased', '2.4', '70,116', 'cargo', 'units', '.The', 'fair', 'value', 'property', 'portfolio', 'doubled', 'result', 'Kapiteeli', 'acquisition', 'totalled', 'EUR', '2,686.2', '1,259.7', 'million', '.10', 'February', '2011', 'Finnish', 'media', 'company', 'Sanoma', 'Oyj', 'HEL', 'SAA1V', 'said', 'yesterday', '2010', 'net', 'profit', 'almost', 'tripled', 'EUR297', '.3', 'EUR107', '.1', '2009', 'announced', 'proposal', 'raised', 'payout', '.A', 'Helsinki', 'ELIiV', 'today', 'reported', 'EPS', 'EUR1', '.13', '2009', ',', 'increase', 'EPS', 'EUR1', '.12', '2008', '.Aspo', 'Plc', 'STOCK', 'EXCHANGE', 'RELEASE', 'February', '11', ',', '2011', 'at8', '.45', 'a.m.', 'ESL', 'Shipping', 'Ltd', ',', 'part', 'Aspo', 'Group', ',', 'signed', 'new', ',', 'long', 'term', 'contract', 'Rautaruukki', 'Corporation', 'marine', 'transport', 'raw', 'materials', 'Baltic', 'Sea', '.Commission', 'income', 'increased', '22', 'EUR', '4.4', 'mn', ',', 'lending', 'volume', 'rose', '13.5', '.In', 'January', ',', 'traffic', ',', 'measured', 'revenue', 'passenger', 'kilometres', 'RPK', ',', 'went', '3.2', 'capacity', ',', 'measured', 'available', 'seat', 'kilometres', 'ASK', ',', 'rose', '12.2', '.In', 'January', 'September', '2010', ',', 'Fiskars', 'net', 'profit', 'went', '14', 'year', 'year', 'EUR', '65.4', 'million', 'net', 'sales', 'EUR', '525.3', 'million', 'EUR', '487.7', 'million', '.Net', 'income', 'life', 'insurance', 'rose', 'EUR', '16.5', 'mn', 'EUR', '14.0', 'mn', ',', 'net', 'income', 'life', 'insurance', 'EUR', '22.6', 'mn', 'EUR', '15.2', 'mn', '2009', '.Nyrstar', 'agreed', 'supply', 'Talvivaara', '150,000', 'tonnes', 'sulphuric', 'acid', 'annum', 'use', 'Talvivaara', 'leaching', 'process', 'period', 'supply', 'zinc', 'concentrate', '.Sales', 'Department', 'Store', 'Division', 'Hobby', 'Hall', 'increased', '7', ',', 'sales', 'clothing', 'store', 'subsidiary', 'Seppala', 'decreased', '4', '.Sales', 'risen', 'export', 'markets', '.Sales', 'increased', 'due', 'growing', 'market', 'rates', 'increased', 'operations', '.The', 'agreement', 'strengthens', 'long', 'term', 'partnership', 'Nokia', 'Siemens', 'Networks', '.The', 'agreement', 'signed', 'Biohit', 'Healthcare', 'Ltd', ',', 'UK', 'based', 'subsidiary', 'Biohit', 'Oyj', ',', 'Finnish', 'public', 'company', 'develops', ',', 'manufactures', 'markets', 'liquid', 'handling', 'products', 'diagnostic', 'test', 'systems', '.The', 'company', 'estimates', 'already', 'carried', 'investments', 'lead', 'increase', 'net', 'sales', '2010', '2009', 'reached', 'EUR', '141.7', 'million', '.The', 'company', 'order', 'book', 'stood', '1.5', 'bln', 'euro', '2.2', 'bln', 'September', '30', ',', '2007', ',', '24.2', 'pct', 'year', ',', 'international', 'orders', 'amounting', '365', 'mln', 'euro', '534.3', 'mln', '.The', 'company', 'said', 'paper', 'demand', 'increased', 'main', 'markets', ',', 'including', 'publication', 'papers', ',', 'increased', 'average', 'paper', 'prices', '4', 'percent', 'compared', 'last', 'year', '.The', 'world', 'second', 'largest', 'stainless', 'steel', 'maker', 'said', 'net', 'profit', 'three', 'month', 'period', 'Dec.', '31', 'surged', 'euro603', 'million', 'US', '781', 'million', ',', 'euro3', '.33', 'US', '4.31', 'share', ',', 'euro172', 'million', ',', 'euro0', '.94', 'share', ',', 'previous', 'year', '.Within', 'framework', 'partnership', ',', 'Nokia', 'Siemens', 'Networks', 'signed', 'initial', 'framework', 'purchase', 'agreement', 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'0.64', '.Diluted', 'earnings', 'share', 'EPS', 'rose', 'EUR', '3.68', 'EUR', '0.50', '.Diluted', 'EPS', 'rose', 'EUR3', '.68', 'EUR0', '.50', '.EBIT', 'margin', '1.4', '5.1', '.Editor', 'note', 'Grimaldi', 'generated', '1.7', 'bln', 'euro', '2.182', 'bln', 'turnover', '2005', ',', 'ANSA', 'reported', 'May', '29', ',', '2006', '.EPS', 'quarter', 'EUR0', '.00', ',', 'compared', 'EUR0', '.01', 'third', 'quarter', '2008', ',', 'representing', 'Group', 'net', 'sales', 'third', 'quarter', 'EUR15', '.3', ',', '2.8', 'compared', 'EUR14', '.9', 'third', 'quarter', '2008', '.EPS', 'continuing', 'operations', 'came', '0.30', 'eur', ',', '0.17', '.Equity', 'ratio', '60.9', 'compared', '54.2', 'In', 'third', 'quarter', '2007', ',', 'net', 'sales', 'Frozen', 'Foods', 'Business', 'totaled', 'EUR', '11.0', ',', '5', 'third', 'quarter', '2006', '.EUR928', ',000', 'Q1', '2010', '6', 'May', '2010', 'Finnish', 'textile', 'clothing', 'design', 'company', 'Marimekko', 'Oyj', 'HEL', 'MMO1V', 'said', 'today', 'net', 'profit', 'rose', 'EUR928', ',000', 'first', 'quarter', '2010', 'EUR13', ',000', 'corresponding', 'period', 'year', 'earlier', '.Finland', 'based', 'Elcoteq', 'SE', ',', 'privately', 'held', 'provider', 'electronics', 'manufacturing', 'services', 'communications', 'companies', ',', 'said', 'Thursday', 'signed', 'long', 'term', 'manufacturing', 'supply', 'deal', 'communications', 'equipment', 'company', 'Andrew', 'Corp.', '.Finnish', 'cutlery', 'hand', 'tools', 'maker', 'Fiskars', 'Oyj', 'Abp', 'HEL', 'FISAS', 'said', 'today', 'net', 'profit', 'rose', 'EUR', '24.1', 'million', 'USD', '33.6', 'third', 'quarter', '2010', 'EUR', '17.9', 'million', 'year', 'earlier', '.Finnish', 'department', 'store', 'chain', 'Stockmann', 'Oyj', 'Abp', 'net', 'profit', 'rose', '39.8', 'mln', 'euro', '56.8', 'mln', 'first', 'nine', 'months', '2007', '37.4', 'mln', 'euro', '53.4', 'mln', 'period', '2006', '.Finnish', 'lifting', 'equipment', 'maker', 'Konecranes', 'Oyj', 'said', 'July', '30', ',', '2008', 'net', 'profit', 'rose', '71.2', 'mln', 'euro', '111.1', 'mln', 'first', 'half', '2008', '57.1', 'mln', 'euro', '89.1', 'mln', 'period', '2007', '.Finnish', 'messaging', 'solutions', 'developer', 'Tecnomen', 'Corporation', 'OMX', 'Helsinki', 'TEM1V', 'said', 'Thursday', '11', 'December', 'received', 'expansion', 'order', 'Convergent', 'Charging', 'solution', 'Latin', 'America', '.Finnish', 'metal', 'industry', 'solutions', 'supplier', 'Outotec', 'Oyj', 'net', 'profit', 'rose', '50.4', 'mln', 'euro', '72.5', 'mln', 'first', 'nine', 'months', '2007', '20.1', 'mln', 'euro', '28.9', 'mln', 'period', '2006', '.Finnish', 'metal', 'products', 'company', 'Componenta', 'Oyj', 'net', 'profit', 'rose', '26.1', 'mln', 'euro', '35.9', 'mln', 'first', 'quarter', '2007', '5.3', 'mln', 'euro', '7.3', 'mln', 'period', '2006', '.Finnish', 'office', 'supplies', 'computer', 'accessories', 'dealer', 'Beltton', 'Group', 'Plc', 'said', 'net', 'profit', 'rose', '1.3', 'mln', 'euro', '1.7', 'mln', '2006', '1.13', 'mln', 'euro', '1.5', 'mln', '2005', '.Finnish', 'security', 'privacy', 'software', 'solutions', 'developer', 'Stonesoft', 'Oyj', 'said', 'January', '7', ',', '2008', 'preliminary', 'sales', 'StoneGate', 'products', 'grew', '59', 'pct', 'year', 'year', '3.6', 'mln', 'euro', '5.3', 'mln', 'fourth', 'quarter', '2007', '.Finnish', 'silicon', 'wafer', 'technology', 'company', 'Okmetic', 'Oyj', 'OMX', 'Helsinki', 'OKM1V', 'reported', 'Thursday', '7', 'August', 'operating', 'profit', 'EUR5', '.3', 'period', 'January', 'June', '2008', ',', 'EUR3', '.3', 'corresponding', 'period', '2007', '.Finnish', 'software', 'developer', 'Done', 'Solutions', 'Oyj', 'said', 'net', 'profit', 'increased', '3.5', 'mln', 'euro', '4.6', 'mln', '2006', '2.3', 'mln', 'euro', '3.0', 'mln', '2005', '.First', 'quarter', 'underlying', 'operating', 'profit', 'rose', '41', 'mln', 'eur', '33', 'mln', 'year', 'earlier', '.Following', 'acquisition', ',', 'Relacom', 'strengthen', 'presence', 'Finland', ',', 'serving', 'operators', 'office', 'market', 'mobile', 'fixed', 'networks', 'construction', ',', 'installation', 'maintenance', 'services', '.For', 'first', 'nine', 'months', '2010', ',', 'company', 'net', 'profit', 'rose', 'EUR41m', 'EUR30m', 'corresponding', 'period', '2009', '.HELSINKI', 'AFX', 'Retail', 'wholesale', 'group', 'Kesko', 'reported', 'net', 'sales', '659.4', 'mln', 'eur', 'February', ',', 'increase', '10.8', 'pct', 'year', 'year', '.However', ',', 'net', 'sales', '2010', 'seen', 'grown', 'EUR598', '.3', 'EUR582', '.3', '2009', '.However', ',', 'sales', 'returned', 'growth', 'April', 'June', '2010', ',', 'CEO', 'Pekka', 'Eloholma', 'said', '.Ragutis', ',', 'controlled', 'Finnish', 'brewery', ',', 'reported', '5.4', 'cent', 'rise', 'beer', 'sales', '10.44', 'million', 'litres', 'held', '11.09', 'cent', 'market', 'share', '.Svyturys', 'Utenos', 'Alus', ',', 'controlled', 'Nordic', 'group', 'Baltic', 'Beverages', 'Holding', 'BBH', ',', 'posted', '4.7', 'cent', 'growth', 'beer', 'sales', 'January', 'May', '46.22', 'million', 'litres', '.In', '2007', ',', 'Contempus', 'generated', 'revenue', 'NOK', '69.3', 'approx', '.In', 'addition', ',', 'Kone', 'signed', 'two', 'year', 'maintenance', 'contract', 'escalators', '.In', 'December', 'alone', ',', 'members', 'Lithuanian', 'Brewers', 'Association', 'sold', 'total', '20.3', 'million', 'liters', 'beer', ',', 'increase', '1.9', 'percent', 'sales', '19.92', 'million', 'liters', 'December', '2004', '.In', 'January', 'September', '2009', ',', 'Group', 'net', 'interest', 'income', 'increased', 'EUR', '112.4', 'mn', 'EUR', '74.3', 'mn', 'January', 'September', '2008', '.In', 'Q1', '2010', ',', 'Bank', '_land', 'net', 'interest', 'income', 'increased', 'EUR', '9.1', 'mn', 'EUR', '9.7', 'mn', '.In', 'Sweden', ',', 'operating', 'profit', 'period', 'review', 'totaled', 'EUR', '3.4', 'mn', ',', '30.8', 'corresponding', 'period', '2005', '.In', 'fourth', 'quarter', '2009', ',', 'Orion', 'net', 'profit', 'went', '33.8', 'year', 'year', 'EUR33m', '.In', 'second', 'quarter', '2010', ',', 'group', 'net', 'profit', 'rose', 'EUR', '3.1', 'million', 'EUR', '2.5', 'million', 'April', 'June', '2009', '.In', 'second', 'quarter', '2010', ',', 'group', 'net', 'profit', 'rose', 'EUR3', '.1', 'EUR2', '.5', 'April', 'June', '2009', '.In', 'third', 'quarter', ',', 'net', 'sales', 'increased', '12', 'year', 'year', 'EUR', '159.5', 'million', ',', '6', 'comparable', 'currency', 'rates', 'growth', '.In', 'third', 'quarter', ',', 'net', 'sales', 'increased', '12', 'year', 'year', 'EUR159', '.5', ',', '6', 'comparable', 'currency', 'rates', 'growth', '.Incap', 'estimates', 'generate', 'revenue', '10', 'mln', 'euro', '13.2', 'mln', 'Indian', 'operations', '2007', '.Its', 'market', 'share', 'widened', '48.51', 'percent', '48.31', 'percent', 'year', 'earlier', '.Its', 'total', 'annual', 'revenue', 'comes', '160', 'mln', 'zloty', '56.9', 'mln', '42', '.3', 'mln', 'euro', '.Kesko', 'Agro', 'Eesti', ',', 'retailer', 'wholesaler', 'grain', ',', 'agricultural', 'warehousing', 'machinery', 'accessories', ',', 'net', 'sales', '81', 'million', 'euros', '2007', ',', 'increase', 'tenth', 'preceding', 'year', '.Kesko', 'car', 'import', 'retailing', 'business', ',', 'VV', 'Auto', ',', 'saw', 'sales', 'grow', '17.1', 'pct', '.Kone', 'net', 'sales', 'rose', '14', 'year', 'year', 'first', 'nine', 'months', '2008', '.', 'ADP', 'News', 'Feb', '11', ',', '2009', 'Finnish', 'management', 'software', 'solutions', 'provider', 'Ixonos', 'Oyj', 'HEL', 'XNS1V', 'said', 'today', 'net', 'profit', 'rose', 'EUR', '3.5', 'million', 'USD', '4.5', '2008', 'EUR', '3.1', 'million', '2007', '.', 'ADP', 'News', 'Feb', '12', ',', '2009', 'Finnish', 'IT', 'solutions', 'provider', 'Affecto', 'Oyj', 'HEL', 'AFE1V', 'said', 'today', 'net', 'profit', 'rose', 'EUR', '8.5', 'million', 'USD', '11m', '2008', 'EUR', '7', 'million', '2007', '.', 'ADP', 'News', 'Feb', '6', ',', '2009', 'Finnish', 'fishing', 'tackle', 'company', 'Rapala', 'VMC', 'Corp', 'HEL', 'RAP1V', 'said', 'today', 'net', 'profit', 'rose', 'EUR', '19.2', 'million', 'USD', '24.6', '2008', 'EUR', '17.5', 'million', '2007', '.', 'ADP', 'News', 'Nov', '5', ',', '2008', 'Finnish', 'electronic', 'measurement', 'products', 'solutions', 'maker', 'Vaisala', 'Oyj', 'OMX', 'VAIAS', 'said', 'today', 'net', 'profit', 'rose', 'EUR', '18', 'million', 'USD', '23.1', 'first', 'nine', 'months', '2008', 'EUR', '1', 'ADP', 'News', 'Oct', '29', ',', '2008', 'Finnish', 'lifting', 'equipment', 'maker', 'Konecranes', 'Oyj', 'OMX', 'KCR1V', 'said', 'today', 'net', 'profit', 'rose', 'EUR', '116.6', 'million', 'USD', '149.1', 'first', 'nine', 'months', '2008', 'EUR', '73.6', 'million', 'sMetso', 'expects', 'net', 'sales', 'increase', '10', '2008', ',', 'comparable', 'exchange', 'rates', '.M', 'real', 'generated', 'turnover', 'EUR5', '.6', 'bn', '2006', '15,500', 'employees', '.Neste', 'Oil', 'Corp.', 'signed', 'long', 'term', 'procurement', 'contracts', 'Honkajoki', 'Oy', 'Findest', 'Protein', 'Oy', ',', 'owned', 'Finnish', 'food', 'manufacturers', ',', 'supply', 'animal', 'fat', 'biodiesel', 'production', 'Neste', '200,000', 'b', 'cd', 'Porvoo', ',', 'Finland', ',', 'refinery', '.Net', 'interest', 'income', 'increased', '4.5', 'EUR', '31.4', 'mn', 'EUR', '30.0', 'mn', '2004', '.Net', 'interest', 'income', 'EUR', '152.2', 'mn', ',', 'EUR', '101.0', 'mn', '2008', '.Net', 'interest', 'income', 'EUR', '39.3', 'mn', ',', 'EUR', '32.7', 'mn', '.Net', 'sales', 'Vegetable', 'Oil', 'Business', 'rose', 'EUR', '10.6', 'mn', 'EUR', '10.1', 'mn', '.Nokia', 'Multimedia', 'net', 'sales', 'totaled', 'EUR', '5.7', 'bn', ',', '45', 'corresponding', 'period', '2005', '.Operating', 'income', 'rose', 'EUR', '696.4', 'mn', 'EUR', '600.3', 'mn', '2009', '.Operating', 'profit', 'Kauppalehti', 'group', 'rose', 'EUR', '1.5', 'mn', 'EUR', '1.3', 'mn', ',', 'Marketplaces', 'EUR', '1.3', 'mn', 'EUR', '1.0', 'mn', 'third', 'quarter', '2006', '.Operating', 'profit', 'rose', 'EUR', '1.94', 'mn', 'EUR', '2.45', 'mn', '.Operating', 'profit', 'rose', '22.1', 'mln', 'eur', '19.9', 'mln', '.Operating', 'profit', 'rose', 'EUR', '1.6', 'mn', 'EUR', '1.1', 'mn', 'corresponding', 'period', '2006', '.Operating', 'profit', 'rose', 'EUR', '103.4', 'mn', 'EUR', '23.2', 'corresponding', 'period', '2006', '.Operating', 'profit', 'rose', 'EUR', '13.5', 'mn', 'EUR', '9.7', 'mn', 'corresponding', 'period', '2006', '.Operating', 'profit', 'rose', 'EUR', '26.7', 'mn', 'EUR', '14.9', 'mn', 'corresponding', 'period', '2006', '.Operating', 'profit', 'rose', 'EUR', '27.8', 'mn', 'EUR', '17.5', 'mn', '2008', '.Operating', 'profit', 'rose', 'EUR', '3.2', 'mn', 'EUR', '1.0', 'mn', 'corresponding', 'period', '2008', '.Operating', 'profit', 'rose', 'EUR', '4.7', 'mn', 'EUR', '3.6', 'mn', '.Operating', 'profit', 'rose', 'EUR', '4.7', 'mn', 'EUR', '4.6', 'mn', '.Operating', 'profit', 'rose', 'EUR', '9.2', 'mn', 'EUR', '6.8', 'mn', 'corresponding', 'period', '2007', '.Operating', 'profit', 'rose', 'EUR2', '.4', 'EUR1', '.6', 'year', 'earlier', '.Operating', 'profit', 'surged', 'EUR21m', 'EUR106', ',000', '.Operating', 'profit', 'totaled', 'EUR', '37,7', 'mn', ',', 'slightly', 'EUR', '37.2', 'mn', 'corresponding', 'period', '2006', '.Operating', 'profit', 'totaled', 'EUR', '5.5', 'mn', ',', 'EUR', '0.7', 'mn', '.Operating', 'profit', 'EUR', '11.4', 'mn', ',', 'EUR', '7.5', 'mn', '.Operating', 'profit', 'EUR', '139.7', 'mn', ',', '23', 'EUR', '113.8', 'mn', '.Order', 'intake', 'grew', '40', 'year', 'year', '30', 'year', 'year', ',', 'respectively', ',', 'EUR', '576', 'million', 'EUR', '1.7', 'billion', 'respective', 'January', 'September', 'July', 'September', '2010', 'periods', '.Orders', 'received', 'grew', '55', 'year', 'year', 'EUR732m', '.Orion', 'Pharma', 'operating', 'profit', 'increased', '42.5', '2004', '.Passenger', 'volumes', 'rose', '8.4', 'accounting', 'period', '.Passenger', 'related', 'revenue', 'rose', '5.1', 'EUR', '460.8', 'mn', 'EUR', '438.5', 'mn', '2009', '.Press', 'release', '9', 'October', '2009', 'Ruukki', 'signed', 'contract', 'deliver', 'install', 'steel', 'structures', 'bridge', 'Kyronsalmi', 'strait', 'Savonlinna', ',', 'Finland', '.Pretax', 'profit', 'rose', 'EUR', '0.6', 'mn', 'EUR', '0.4', 'mn', 'corresponding', 'period', '2005', '.Pretax', 'profit', 'rose', 'EUR', '1,019', 'mn', 'EUR', '1,007', 'corresponding', 'period', '2005', '.Pretax', 'profit', 'rose', 'EUR', '17.8', 'mn', 'EUR', '14.9', 'mn', '2005', '.Pre', 'tax', 'profit', 'totaled', 'EUR', '397.4', 'mn', ',', 'EUR', '164.7', 'mn', '.Previously', ',', 'company', 'guided', 'EBIT', 'sales', 'growth', '20', 'pct', '10', 'pct', 'respectively', 'year', '.Previously', 'company', 'estimated', 'operating', 'profit', 'reach', 'level', '2005', '.Profit', 'period', 'totaled', 'EUR', '39.4', 'mn', ',', 'EUR', '33.9', 'mn', 'corresponding', 'period', '2006', '.Profit', 'period', 'EUR', '5.9', 'mn', ',', 'EUR', '1.3', 'mn', '.Profit', 'period', 'EUR', '9.8', 'mn', ',', 'EUR', '6.0', 'mn', '2004', '.Revenue', 'grew', '12', 'percent', 'x20ac', '3.6', 'billion', 'US', '4.5', 'billion', '.Revenue', 'July', 'September', 'grew', '14', 'percent', 'EURO', '467', 'million', 'year', 'earlier', ',', 'company', 'said', 'Thursday', '.Revenues', 'time', 'grew', '14', 'percent', '43', 'million', 'euros', '.Ruukki', 'signed', 'contract', 'deliver', 'install', 'steel', 'structures', 'bridge', 'Kyronsalmi', 'strait', 'Savonlinna', ',', 'Finland', '.Sales', 'Latin', 'America', 'increased', '42', 'EUR', '432mn', ',', 'total', '8.7', 'mn', 'mobile', 'devices', 'sold', 'area', ',', 'representing', 'increase', '32', 'corresponding', 'period', '2009', '.Sales', 'clothing', 'developed', 'best', '.Sanoma', 'Magazines', 'Finland', 'net', 'sales', 'grew', 'EUR', '140.1', 'mn', 'EUR', '131.8', 'mn', '.Satama', 'net', 'profit', 'third', 'quarter', '2007', 'rose', '275,000', 'euro', '395,000', '270,000', 'euro', '388,000', 'period', '2006', '.Section', 'Regional', 'News', 'The', 'demand', 'Finnair', 'Asian', 'traffic', ',', 'measured', 'passenger', 'kilometers', ',', '34.9', 'August', 'compare', 'last', 'year', '.Svyturys', 'Utenos', 'Alus', ',', 'controlled', 'Nordic', 'group', 'Baltic', 'Beverages', 'Holding', 'BBH', ',', 'posted', '6.1', 'percent', 'growth', 'beer', 'sales', 'January', 'September', '101.99', 'million', 'liters', '.That', 'would', 'increase', 'estimated', 'sales', '117', 'million', 'last', 'year', '.The', 'agreement', 'expands', 'Tekla', 'Structures', 'scope', 'use', 'bridge', 'design', '.The', 'aim', 'increase', 'sales', 'least', 'fifth', '2006', '.The', 'chain', 'posted', 'sales', '298', 'million', 'euros', 'full', '2005', ',', 'rise', '19.5', 'percent', ',', 'year', 'year', '.The', 'company', 'expects', 'net', 'sales', '2008', 'increase', '5', '10', '2007', '.The', 'company', 'expects', 'net', 'sales', 'first', 'half', '2008', 'reach', 'previous', 'year', 'level', '.The', 'company', 'process', 'building', 'new', 'fleet', 'placed', 'orders', '10', 'P', 'Max', 'tankers', '65,200', 'dwt', '.The', 'company', 'operating', 'income', 'EBIT', 'totalled', 'EUR', '0.0', 'mn', ',', 'EUR', '0.3', 'mn', 'year', 'year', '.The', 'EPS', 'outlook', 'increased', '5.6', 'pct', '2007', '7.0', 'pct', '2008', '.The', 'fair', 'value', 'investment', 'properties', 'totaled', 'EUR', '2,534.9', 'mn', ',', 'EUR', '2,455.1', 'mn', '2006', '.The', 'Finnish', 'government', 'announced', 'Wednesday', 'sold', '32', 'percent', 'stake', 'chemicals', 'fertilizer', 'group', 'Kemira', 'Oyj', 'x20ac', '655.6', 'million', '890US', 'million', ',', 'sending', 'company', 'share', 'price', '6', 'percent', '.The', 'firm', 'generated', 'sales', '187', 'mln', 'eur', '2005', '.The', 'German', 'company', 'signed', 'code', 'share', 'agreement', 'another', 'Oneworld', 'member', 'American', 'Airlines', 'Inc', ',', 'part', 'US', 'based', 'AMR', 'Corp', 'NYSE', 'AMR', '.The', 'Helsinki', 'based', 'company', ',', 'owns', 'Salomon', ',', 'Atomic', 'Suunto', 'brands', ',', 'said', 'net', 'profit', 'rose', '15', 'percent', 'three', 'months', 'Dec.', '31', 'x20ac', '47', 'million', '61US', 'million', ',', 'x20ac', '40.8', 'million', 'year', 'earlier', '.The', 'increase', 'capital', 'stock', 'registered', 'Finnish', 'Trade', 'Register', '20', 'November', '2006', '.The', 'operating', 'profit', 'Grain', 'Trading', 'increased', 'EUR', '2.0', 'mn', 'EUR', '1.4', 'mn', '2005', '.The', 'stock', 'rose', 'second', 'day', 'Wednesday', 'bringing', 'two', 'day', 'rise', 'GBX12', '.0', '2.0', '.The', 'stock', 'rose', 'third', 'day', 'Tuesday', 'bringing', 'three', 'day', 'rise', 'GBX10', '.50', '1.8', '.The', 'transaction', 'line', 'Aspo', 'strategy', 'expand', 'Baltic', 'Sea', 'region', 'eastern', 'markets', '.The', 'transactions', 'would', 'increase', 'earnings', 'share', 'first', 'quarter', 'EUR0', '.28', '.There', 'recovery', 'base', 'metals', 'prices', 'increased', 'demand', 'metals', 'China', ',', 'however', '.This', 'new', 'representation', 'extends', 'Comptel', 'global', 'presence', 'total', '18', 'countries', ',', 'serving', '250', 'customers', '80', 'countries', 'worldwide', '.TietoEnator', 'uses', 'Nokia', 'Intellisync', 'Mobile', 'Suite', 'wireless', 'email', ',', 'calendar', ',', 'device', 'management', 'capabilities', ',', 'company', 'extend', 'services', 'customers', '.Total', 'operating', 'revenue', 'grew', '27.6', 'year', 'year', 'EUR61m', '.Vacon', 'cash', 'flow', 'operations', 'grew', 'EUR', '37.1', 'mn', 'EUR', '21.9', 'mn', 'year', 'ago', '.Vacon', 'supply', 'drives', 'Ruselprom', 'power', 'range', '200', 'kW', '2', 'MW', '.We', 'strengthen', 'existing', 'partnership', 'Cybercom', ',', 'says', 'Teleste', 'CTO', 'Esko', 'Myllyla', '.Via', 'Satlan', 'acquisition', ',', 'Teleste', 'plans', 'expand', 'market', 'presence', 'video', 'services', 'partner', 'cable', 'operators', ',', 'broadcasters', 'IPTV', 'service', 'providers', '.With', 'acquisition', ',', 'company', 'expand', 'offering', 'North', ',', 'Central', 'South', 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'Brands', 'report', 'net', 'sales', 'EUR', '145.8', 'mn', ',', 'EUR', '138.4', 'mn', '.GeoSentric', 'Oyj', 'GeoSolutions', 'Business', 'Unit', 'GyPSii', ',', 'mobile', 'digital', 'lifestyle', 'application', 'geo', 'mobility', 'social', 'networking', 'platform', ',', 'signed', 'agreement', 'Nanjing', 'MyNet', 'make', 'GyPSii', 'mobile', 'social', 'networking', 'platform', 'available', 'customers', 'China', 'Mobile', '.HELSINKI', 'AFX', 'Outokumpu', 'Technology', 'said', 'signed', '3.5', 'mln', 'eur', 'agreement', 'Mongolia', 'Erdenet', 'Mining', 'Corporation', 'engineering', 'first', 'HydroCopper', 'plant', 'built', 'Erdenet', 'site', '.However', ',', 'proportion', 'paid', 'standing', 'orders', 'grew', '2009', '.In', 'addition', 'demand', 'Finland', ',', 'export', 'lining', 'stone', 'products', 'increased', '.In', 'January', 'September', '2007', ',', 'group', 'net', 'sales', 'continuing', 'operations', 'rose', 'EUR', '213.1', 'mn', 'EUR', '172.6', 'mn', 'corresponding', 'period', 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'brewery', 'sales', 'reached', '15.04', 'million', 'euros', 'last', 'year', ',', 'rise', '20.4', 'percent', '12.49', 'million', 'euros', '2004', '.Olvi', 'expects', 'sales', 'market', 'share', 'increase', 'first', 'quarter', '2010', '.Olvi', 'target', 'strengthen', 'market', 'share', 'soft', 'drinks', ',', 'mineral', 'waters', ',', 'ciders', ',', 'long', 'drinks', ',', 'energy', 'drinks', '.Operating', 'profit', 'increased', 'EUR', '14.0', 'mn', 'EUR', '4.9', 'mn', 'corresponding', 'period', '2005', '.Operating', 'profit', 'Asian', 'plants', 'grew', 'markedly', '.Operating', 'profit', 'totaled', 'EUR', '825mn', ',', 'EUR', '763mn', '2004', '.Operating', 'profit', 'totalled', 'EUR', '83.0', 'mn', ',', 'EUR', '23.5', 'mn', 'year', 'year', '.Production', 'capacity', 'increase', '36', '000', '85', '000', 'tonnes', 'year', 'raw', 'material', 'continue', 'recycled', 'paper', 'board', '.Profit', 'period', 'increased', 'EUR', '2.9', 'mn', 'EUR', '10.5', 'mn', '.Profit', 'share', 'EUR', '1.03', 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'variant', 'Rolls', 'Royce', 'Trent', 'series', 'engines', ',', 'called', '1700', '.The', 'company', 'intensifying', 'smelter', 'operations', 'increasing', 'annual', 'production', 'capacity', '230,000', 'tonnes', 'copper', '.The', 'company', 'market', 'share', 'continued', 'increase', '.The', 'company', 'scheduled', 'traffic', ',', 'measured', 'revenue', 'passenger', 'kilometres', 'RPK', ',', 'grew', '2', 'nearly', '3', 'passengers', 'carried', 'scheduled', 'flights', 'February', '2009', '.The', 'company', 'said', 'investments', 'new', 'market', 'areas', 'resulted', 'sales', 'increase', 'Sweden', ',', 'Poland', ',', 'Russia', 'Lithuania', '.The', 'disposal', 'Autotank', 'strengthen', 'Aspo', 'capital', 'structure', ',', 'commented', 'Gustav', 'Nyberg', ',', 'CEO', 'Aspo', '.The', 'earnings', 'share', 'quarter', 'came', '0.25', 'eur', ',', '0.20', 'eur', 'quarter', 'year', 'earlier', '.The', 'economic', 'occupancy', 'rate', 'Sponda', 'property', 'portfolio', 'rose', '91.2', '88.8', '2006', '.The', 'Finnish', 'supplier', 'BSS', 'OSS', 'VAS', 'telecom', 'operators', ',', 'Tecnotree', ',', 'received', 'expansion', 'orders', 'worth', 'total', 'US', '7.3', 'mn', 'convergent', 'charging', 'next', 'generation', 'messaging', 'solutions', 'Latin', 'America', ',', 'company', 'announced', 'without', 'specifying', 'operators', 'placed', 'orders', '.The', 'group', '12', 'month', 'operating', 'profit', 'grew', '31', 'percent', '337.8', 'million', 'euros', '.The', 'growth', 'activeness', 'Talentum', 'customers', ',', 'started', '2009', ',', 'continued', 'reporting', 'period', ',', 'company', 'stated', '.The', 'growth', 'net', 'sales', 'first', 'half', '2008', '28', 'compared', 'first', 'half', '2007', '.The', 'pretax', 'profit', 'group', 'life', 'insurance', 'business', 'increased', 'EUR', '36', 'million', 'EUR', '27', 'million', '.The', 'pretax', 'profit', 'group', 'life', 'insurance', 'business', 'increased', 'EUR36m', 'EUR27m', '.The', 'total', 'delivery', 'volume', 'paper', 'businesses', '2010', '1,155,000', 'tonnes', ',', '1,132,000', 'tonnes', '2009', '.The', 'value', 'firm', 'forestry', 'holdings', 'increased', 'SEK', '3.6', 'bn', '.This', 'new', 'deal', 'strengthened', 'partnership', 'Telemig', 'Celular', 'Tecnomen', ',', 'started', 'since', 'beginning', 'Telemig', 'prepaid', 'operations', '.Turnover', 'rose', 'EUR21m', 'EUR17m', '.Xerox', 'Stora', 'Enso', 'teamed', 'tailor', 'iGen3', 'short', 'run', ',', 'demand', 'packaging', 'market', '.YIT', 'Construction', 'town', 'Riihim', 'Æki', 'signed', 'lease', 'contract', 'whereby', 'town', 'occupy', 'Travel', 'Centre', 'office', 'facilities', '.The', 'upgrade', 'intended', 'raise', 'network', 'capacity', '450', 'MHz', '630', 'MHz', 'several', 'cities', ',', 'enabling', 'directional', 'services', 'digital', 'television', 'well', 'broadband', 'data', '.The', 'Finnish', 'company', 'Stockmann', 'signed', 'contract', 'company', 'Technopolis', '.According', 'notice', ',', 'Skandinaviska', 'Enskilda', 'Banken', 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'joint', 'bookrunners', 'planned', 'issue', 'convertible', 'notes', 'worth', 'EUR250m', 'USD332m', '.Lead', 'production', ',', 'turn', ',', 'increase', '60,000', 'tonnes', '2009', 'would', 'twofold', 'increase', 'current', 'capacity', 'levels', ',', 'Zahariev', 'said', '.Lemminkainen', 'Oyj', 'said', 'signed', 'credit', 'agreements', 'Nordea', 'Bank', 'STO', 'NDA', ',', 'Pohjola', 'Bank', 'HEL', 'POH1S', ',', 'Sampo', 'Bank', 'HEL', 'SAMAS', 'Svenska', 'Handelsbanken', 'STO', 'SHB', 'A', '.Pohjola', 'could', 'increase', 'stake', '45', '2013', '.Scandic', 'Feed', 'diversify', 'Tosno', 'product', 'portfolio', '.Separately', ',', 'YIT', 'Corporation', 'Austrian', 'firm', 'E', 'AG', 'last', 'week', 'signed', 'agreement', 'E', 'building', 'system', 'service', 'business', 'Germany', ',', 'Austria', ',', 'Poland', ',', 'Czech', 'Republic', ',', 'Hungary', 'Romania', 'EUR', '55', 'mln', '.The', 'agreement', 'JM', 'series', 'contracts', 'TeliaSonera', 'signed', 'recent', 'months', 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'promising', 'users', 'earn', 'thousands', 'dollars', 'becoming', 'Google', 'NASDAQ', 'GOOG', 'Cash', 'advertiser', '.ALEXANDRIA', ',', 'Va.', ',', 'March', '28', 'Pertti', 'Salmi', 'Hanna', 'Vuolteenaho', ',', 'Oulu', ',', 'Finland', ',', 'Sami', 'Viitasaari', 'Ii', ',', 'Finland', ',', 'developed', 'ornamental', 'design', 'handset', ',', 'U.S.', 'Patent', '&', 'Trademark', 'Office', 'announced', '.ALEXANDRIA', ',', 'Va.', ',', 'Oct.', '3', 'Markka', 'A.', 'Oksanen', 'Harald', 'Kaaja', ',', 'Helsinki', ',', 'Finland', ',', 'Juha', 'Salokannel', 'Kangasala', ',', 'Finland', ',', 'Arto', 'Palin', 'Viiala', ',', 'Finland', ',', 'developed', 'system', 'providing', 'communications', 'security', '.As', 'earlier', 'reported', ',', 'Nokian', 'Tyres', 'building', 'plant', 'town', 'Vsevolozhsk', 'Russia', 'Leningrad', 'Region', 'annual', 'production', 'capacity', '4', 'million', 'tires', '.Biohit', ',', 'Inc.', ',', 'expanded', 'mLINE', 'Family', 'Pipettors', 'addition', 'NEW', '1', '10', 'ml', 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'period', '2009', '.Finnish', 'Sampo', 'Bank', ',', 'Danish', 'Danske', 'Bank', 'group', ',', 'reports', 'profit', 'taxes', 'EUR', '152.3', 'mn', '2010', ',', 'EUR', '32.7', 'mn', '2009', '.Profit', 'taxes', 'period', 'EUR0', '.9', ',', 'EUR0', '.01', 'last', 'year', '.Profit', 'taxes', 'EUR', '5.4', 'mn', ',', 'EUR', '3.6', 'mn', 'year', 'earlier', '.Also', 'construction', 'expenses', 'gone', 'Russia', '.Neste', 'Oil', 'said', 'build', 'biodiesel', 'production', 'facility', 'Rotterdam', ',', 'Netherlands', ',', 'estimated', 'cost', '670', 'million', 'euros', ',', 'naming', 'France', 'based', 'Technip', 'project', 'main', 'contractor', '.The', 'European', 'Central', 'Bank', 'ECB', 'anticipated', 'raise', 'benchmark', 'interest', 'rate', 'second', 'half', '2011', 'earliest', '.11', 'August', '2010', 'Finnish', 'measuring', 'equipment', 'maker', 'Vaisala', 'Oyj', 'HEL', 'VAIAS', 'said', 'today', 'net', 'loss', 'widened', 'EUR4', '.8', 'first', 'half', '2010', 'EUR2', '.3', 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'64', 'percent', 'increase', 'third', 'quarter', 'net', 'profit', 'EURO', '47.4', 'million', '65', 'million', 'strong', 'sales', 'cost', 'cuts', '.Exports', 'make', '80', 'cent', 'sales', ',', 'Glaston', 'reflects', 'truly', 'internationally', 'operating', 'company', ',', 'explains', 'Kyro', 'President', '&', 'CEO', 'Mika', 'Seitovirta', '.Westend', 'ICT', 'Plc', 'new', '409,665,891', 'shares', 'increase', 'share', 'capital', 'EUR', '2,000,000', 'based', 'resolutions', 'extraordinary', 'shareholders', 'meeting', '27', 'December', '2010', 'today', 'registered', 'Trade', 'Register', '.Due', 'rapid', 'expansion', ',', 'market', 'share', 'Tallink', 'terms', 'passenger', 'carriage', 'Tallinna', 'Sadam', 'Port', 'Tallinn', 'totaled', '55', 'percent', 'November', '45.7', 'percent', 'November', '2005', '.Finnish', 'industrial', 'investor', 'Panostaja', 'Oyj', 'OMX', 'Helsinki', 'PNAAS', 'OMX', 'Helsinki', 'PNABS', 'said', 'Friday', '11', 'July', 'signed', 'deal', 'acquire', 'entire', 'share', 'capital', 'Kospa', 'Oy', ',', 'manufacturer', 'waste', 'disposal', 'equipment', '.Stora', 'Enso', 'R', 'shares', 'rose', '1.20', 'pct', '11.84', 'eur', ',', 'UPM', 'Kymmene', 'dragged', 'higher', ',', 'rising', '1.68', 'pct', '17.56', 'eur', 'M', 'Real', 'B', 'added', '2.38', 'pct', '4.30', 'eur', '.Cash', 'Flow', 'Operations', 'recent', 'quarter', 'reached', 'eight', 'year', 'low', '.Both', 'loans', 'used', 'finance', 'strategic', 'investments', 'shopping', 'center', 'redevelopment', 'projects', 'refinancing', 'maturing', 'debt', '.The', 'stock', 'price', 'rose', '70.0', 'ores', '0.9', 'close', 'SEK77', '.65', ',', 'ending', 'two', 'day', 'streak', 'losses', '.Earnings', 'share', 'EPS', 'amounted', 'EUR0', '.98', ',', 'loss', 'EUR0', '.02', '.Earnings', 'share', 'EPS', 'EUR0', '.03', ',', 'loss', 'EUR0', '.083', '.Operating', 'profit', 'totalled', 'EUR', '0.4', 'mn', ',', 'operating', 'loss', 'EUR', '0.8', 'mn', 'year', 'year', '.Operating', 'profit', 'totalled', 'EUR', '7.0', 'mn', 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'production', 'process', '.Shareholder', 'full', 'ID', 'code', 'Petri', 'Ailus', ',', 'born', '15.9.1966', 'For', 'information', ',', 'please', 'contact', 'Isto', 'Hantila', ',', 'CEO', ',', 'tel', '.', '358', '9', '591', '8342', '.9', 'September', '2010', 'Finnish', 'stationery', 'gift', 'retailer', 'Tiimari', 'HEL', 'TII1V', 'said', 'today', 'net', 'sales', 'rose', '2', 'year', 'year', 'EUR5', '.7', 'August', '2010', ',', 'driven', 'growth', 'Finland', ',', 'demand', 'Baltics', 'remained', 'weak', '.By', '14', '29', 'CET', 'Monday', ',', 'shares', 'Bavarian', 'Nordic', 'climbed', '1.21', 'DKK250', 'stock', 'exchange', 'Copenhagen', 'lost', '7.41', 'past', 'month', '.For', 'example', ',', 'net', 'sales', 'increased', '5.9', 'first', 'quarter', ',', 'EBITDA', 'increased', 'negative', 'EUR', '0.2', 'mn', 'first', 'quarter', '2009', '.Mobile', 'phone', 'sales', 'rose', '25', '5.87', 'billion', 'euros', ',', 'enterprise', 'solution', 'sales', 'dropped', '39', '186', 'million', 'euros', 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'140,000', 'sq', '1.5', 'million', 'sq', 'ft', '.The', 'SeaWind', 'route', 'Finnish', 'port', 'Turku', 'Stockholm', 'got', 'stuck', 'ice', 'already', 'around', '4', 'p.m.', 'Wednesday', 'Regal', 'Star', 'journey', 'Swedish', 'port', 'Kapellskar', 'Paldiski', 'northwestern', 'Estonia', 'cut', 'short', '2', 'a.m.', 'Thursday', '.The', 'Stena', 'Poseidon', 'called', 'Panamax', 'tanker', ',', 'designed', 'able', 'pass', 'narrow', 'passages', 'Panama', 'Canal', 'locks', '.Upon', 'completion', ',', 'Keskuskatu', 'form', 'backbone', 'Helsinki', 'pedestrianised', 'downtown', 'area', ',', 'linking', 'city', 'main', 'pedestrian', 'precincts', '.', '``', 'Uncommonly', 'weak', 'snow', 'conditions', 'nearly', 'every', 'market', 'affected', 'first', 'quarter', 'result', ',', 'Chief', 'Executive', 'Roger', 'Talermo', 'said', '.Danish', 'company', 'FLSmidth', 'acknowledged', 'violated', 'patent', 'held', 'Finnish', 'Metso', '.The', 'liquidity', 'providing', 'interrupted', 'May', '11', ',', '2007', 'Aspocomp', 'Group', 'Oyj', 'shares', 'traded', '0.50', 'cent', 'Aspocomp', 'stock', 'exchange', 'release', '11.5.2007', '.Markets', 'expecting', 'poor', 'performance', ',', 'company', 'stock', '6', 'percent', 'x20ac', '23.89', 'US', '33.84', 'early', 'afternoon', 'trading', 'Helsinki', '.The', 'layoffs', 'aimed', 'reaching', 'annual', 'savings', 'target', '1.5', 'billion', 'euros', '2', 'billion', '2010', '.According', 'Finnish', 'insurance', 'companies', 'Tapiola', ',', 'Local', 'Insurance', 'Group', 'L', 'Æhivakuutus', ',', 'Pohjola', 'two', 'fierce', 'storms', 'July', 'beginning', 'August', '2010', 'felled', 'trees', 'around', 'Finland', 'speeded', 'sales', 'forest', 'insurance', '.Excluding', 'recurring', 'items', ',', 'pre', 'tax', 'profit', 'surged', '45', 'EUR80m', '.As', 'result', 'cancellation', ',', 'maximum', 'increase', 'Citycon', 'share', 'capital', 'basis', 'convertible', 'bonds', 'decreased', 'EUR', '23,383,927.80', 'EUR', '22,901,784.75', '.ADP', 'News', 'Feb', '13', ',', '2009', 'Finnish', 'retailer', 'Kesko', 'Oyj', 'HEL', 'KESBV', 'said', 'today', 'total', 'sales', ',', 'excluding', 'value', 'added', 'tax', 'VAT', ',', 'stood', 'EUR', '661.3', 'million', 'USD', '853.1', 'January', '2009', ',', '15.2', 'year', 'yeaThe', 'low', 'capacity', 'utilisation', 'rate', 'steel', 'production', 'considerably', 'increases', 'fixed', 'costs', 'unit', 'steel', 'produced', '.Talentum', 'expects', 'net', 'sales', 'core', 'business', 'increase', '2008', ',', 'compared', '2007', '.', '``', 'In', 'newly', 'formed', 'company', 'YIT', 'Stavo', 'local', 'contact', 'network', ',', 'expertise', 'market', 'know', 'Euro', 'Stavokonsult', 'combined', 'YIT', 'housing', 'concept', ',', 'said', 'Juha', 'Kostiainen', ',', 'Yit', 'Vice', 'President', ',', 'Corporate', 'Communications', 'Business', 'Development', '.A', '&', 'euro', ';', '4.8', 'million', 'investment', '13.6', 'Lewa', 'netted', 'Deutsche', 'Beteiligungs', '&', 'euro', ';', '21', 'million', '.In', 'China', ',', 'Finnish', 'Kone', 'provides', 'elevators', ',', 'escalators', ',', 'solutions', 'modernisation', 'maintenance', 'build', '342', 'escalators', 'installed', 'high', 'speed', 'railway', 'section', 'Beijing', 'Shanghai', '1.5', 'years', 'time', '.According', 'PKC', ',', 'acquisition', 'would', 'bring', 'significant', 'addition', 'PKC', 'customer', 'base', '.Airbus', '100', 'firm', 'orders', 'A350', '89', 'nonbinding', 'commitments', '.Aspo', 'net', 'sales', '2006', 'totaled', 'EUR', '225.9', 'million', '.At', 'review', 'period', ',', 'Nordic', 'Aluminium', 'order', 'book', 'stood', 'EUR', '8.77', 'mn', 'compared', 'EUR', '7.04', '2005', '.Both', 'companies', 'existing', 'investment', 'plans', 'coordinated', '.Both', 'net', 'sales', 'operating', 'profit', 'record', 'high', 'company', 'history', '.E', 'building', 'system', 'service', 'revenue', 'EUR', '355', 'mln', '2007', '.Elcoteq', 'stock', 'orders', 'stabilised', 'past', 'weeks', ',', 'Mr', 'Krippl', 'said', '.Export', 'accounts', 'tenth', 'company', 'annual', 'turnover', 'billion', 'kroons', '.Favourable', 'currency', 'rates', 'contributed', 'higher', 'net', 'sales', ',', 'CEO', 'Kari', 'Kauniskangas', 'said', '.Fiskars', ',', '360', 'year', 'old', 'global', 'business', 'best', 'known', 'orange', 'handled', 'scissors', ',', 'expects', 'derive', 'synergies', 'EUR5', 'million', 'year', 'consolidating', 'certain', 'parts', 'housewares', 'division', 'two', 'compete', '.For', '2009', ',', 'Incap', 'expects', 'revenue', 'EUR', '70', 'million', '.Full', 'year', 'net', 'sales', 'expected', 'increase', 'approximately', '10', ',', 'company', 'said', '.In', '2006', 'company', 'net', 'sales', 'amounted', 'approximately', 'EUR259m', '8,000', 'employees', '.In', '2009', ',', 'KONE', 'annual', 'net', 'sales', 'EUR', '4.7', 'billion', 'approximately', '34,000', 'employees', '.In', 'addition', 'Indian', 'market', ',', 'new', 'plant', 'serve', 'Salcomp', 'customers', 'globally', ',', 'company', 'said', '.in', 'Q1', '10', '19', 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'operators', 'Tecnotree', ',', 'company', 'president', 'CEO', 'Eero', 'Mertano', 'told', 'BNamericas', '.Lithuanian', 'beer', 'makers', 'sold', '256.88', 'million', 'liters', 'beer', '2005', ',', 'rise', '4.5', 'cent', 'year', 'earlier', 'figure', '245.92', 'million', 'liters', '.Loss', 'taxes', 'amounted', 'EUR', '1.2', 'mn', 'compared', 'loss', '2.6', 'mn', '.Net', 'sales', '2010', 'EUR', '2.0', 'billion', ',', 'international', 'operations', 'accounted', 'roughly', 'quarter', '.Net', 'sales', 'revenue', 'passenger', 'expected', 'increase', '.Nokia', 'OYJ', 'production', 'site', 'Bochum', ',', 'Germany', ',', 'posted', 'profit', 'interest', '134', 'mln', 'eur', '2007', ',', 'Capital', 'reported', 'excerpt', 'article', 'released', 'tomorrow', ',', 'citing', 'internal', 'documents', '.Operating', 'income', 'EUR', '24.9', 'mn', ',', 'including', 'EUR', '15.3', 'mn', 'restructuring', 'expenses', '.Operating', 'profit', 'quarter', 'April', 'June', '2006', 'amounted', 'EUR42', '.9', 'net', 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'Helander', ',', 'transaction', 'enable', 'company', 'proceed', 'swiftly', 'restructuring', 'program', '.According', 'Olvi', 'Managing', 'Director', 'Lasse', 'Aho', ',', 'company', 'ongoing', 'MMX', 'Plus', 'project', 'aims', 'find', 'growth', 'outside', 'Finland', '.According', 'Scanfil', 'President', 'Harri', 'Takanen', ',', 'Scanfil', 'investment', 'activity', 'proceeded', 'according', 'strategy', 'several', 'fronts', '2010', '.Acquisitions', 'made', 'businesses', 'well', 'integrated', '.Alma', 'Media', 'net', 'sales', '2009', 'totalled', 'MEUR', '307.8', 'operating', 'margin', '13.5', 'cent', '.Aspokem', 'posted', 'operating', 'profit', '2.7', 'mln', 'euro', '3.5', 'mln', 'net', 'sales', '89.1', 'mln', 'euro', '116.8', 'mln', '2006', '.Auburn', 'sales', '2007', 'CAD', '41', 'million', 'approximately', 'EUR', '27', 'million', ',', 'company', 'employs', '150', 'people', '.Brazilian', 'mobile', 'player', 'Telemig', 'Celular', 'yesterday', 'announced', 'selected', 'Finnish', 'software', 'developer', 'Tecnomen', 'Oyj', 'expand', 'prepaid', 'billing', 'system', '.Cargotec', 'Corporation', ',', 'Press', 'Release', ',', 'April', '28', ',', '2008', '2.00', 'p.m.', 'Finnish', 'time', 'Cargotec', 'MacGREGOR', 'business', 'area', 'providing', 'marine', 'cargo', 'handling', 'offshore', 'load', 'handling', 'solutions', 'received', 'significant', 'hatch', 'cover', 'orders', 'bulk', 'carriers', '.Cargotec', 'sales', 'totalled', 'EUR', '3.4', 'billion', '2008', 'employs', 'approximately', '10,500', 'people', '.Commencing', 'construction', 'works', 'Pearl', 'Plaza', 'significant', 'step', 'Russian', 'projects', '.CORPORATE', 'IT', 'UPDATE', 'C', '1995', '2009', 'M2', 'COMMUNICATIONS', 'LTD', 'Finnish', 'technology', 'group', 'Teleste', 'Corporation', 'OMX', 'Helsinki', 'TLT1V', 'reported', 'Wednesday', '4', 'February', 'operating', 'profit', 'EUR5', '.6', 'net', 'sales', 'EUR108', '.7', 'year', '2008', '.Cost', 'savings', 'rise', '20', 'mln', 'eur', 'year', '2007', ',', 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'evaporation', 'plant', 'six', 'thermal', 'stages', 'capacity', '1,600', 'tonnes', 'hour', '.Metso', 'supply', 'equipment', 'two', 'process', 'lines', 'Northland', 'Resources', 'new', 'Kaunisvaara', 'iron', 'ore', 'project', 'Sweden', 'exploits', 'Tapuli', 'Sahavaara', 'iron', 'ore', 'deposits', '.M', 'real', 'sales', 'expected', 'increased', '4', 'year', 'year', 'EUR609m', 'second', 'quarter', '2010', '.NAVTEQ', 'commanding', 'lead', 'installed', 'map', 'data', 'systems', 'North', 'American', 'vehicles', 'may', 'leader', 'turn', 'turn', 'navigation', 'data', 'offered', 'services', 'OnStar', 'North', 'America', ',', 'said', 'analyst', 'Phil', 'Magney', 'Telematics', 'Research', 'Group', 'Minnetonka', ',', 'Minn.', '.Neste', 'oil', 'board', 'proposed', '1.00', 'eur', 'dividend', 'full', 'year', '2007', ',', 'compared', '0.90', 'eur', 'year', 'ago', '.Net', 'interest', 'income', 'totaled', 'EUR', '15.9', 'mn', ',', 'compared', 'EUR', '15.6', 'mn', 'year', 'earlier', '.Net', 'profit', 'period', '2009', 'EURO', '29', 'million', '.Net', 'profit', 'period', '2006', '36.6', 'million', 'euros', '.Net', 'profit', 'period', '2006', 'x20ac', '172', 'million', '.Net', 'profit', '35.5', 'mln', 'compared', '29.8', 'mln', '.Net', 'sales', 'expected', 'remain', 'level', '2007', '.Net', 'sales', 'Sata', 'Flexo', 'Group', 'came', 'EUR4', '.3', '2007', ',', 'group', 'companies', 'employed', 'total', '40', 'people', '.Net', 'sales', '2006', 'totaled', 'EUR', '302', 'million', 'operating', 'margin', '16', '.Net', 'sales', '2007', 'expected', '10', '2006', '.Net', 'sales', '2007', 'totalled', 'EUR', '329', 'million', 'operating', 'margin', '19', '.Net', 'sales', '2008', 'expected', 'level', '2007', '.Net', 'sales', 'Lehdentekijat', 'unit', 'approximately', 'EUR', '14', 'million', '2007', '70', 'employees', '.Nokia', 'bought', 'Chicago', 'based', 'Navteq', '2008', ',', 'acquiring', 'maps', 'database', 'compete', 'Google', 'maps', 'well', 'navigation', 'device', 'companies', 'TomTom', 'NV', 'Garmin', 'Ltd.', '.Nokia', 'Corp', 'Finland', 'Tuesday', 'said', 'received', 'unified', 'device', 'managment', 'contract', 'Finnish', 'operator', 'Elisa', 'Oyj', '.Nokia', 'enough', 'users', 'well', '.Of', ',', 'EUR', '38.8', 'mn', 'net', 'interest', 'income', '.OMEO', 'www.omeo.se', 'employs', '55', 'expects', 'net', 'sales', '23', 'mln', 'euro', '29.8', 'mln', 'fiscal', '2006', '2007', ',', 'ending', 'April', '30', ',', '2007', '.Operating', 'loss', 'EUR', '179mn', ',', 'compared', 'loss', 'EUR', '188mn', 'second', 'quarter', '2009', '.Operating', 'profit', 'quarter', 'April', 'June', '2006', 'amounted', 'EUR182', '.2', 'sales', 'EUR3', '.62', 'bn', '.Operating', 'profit', 'totaled', 'EUR', '18.6', 'mn', '8.3', 'net', 'sales', '.Operating', 'profit', 'EUR', '9.8', 'mn', ',', 'compared', 'loss', 'EUR', '12.7', 'mn', 'corresponding', 'period', '2009', '.Pre', 'tax', 'loss', 'totaled', 'EUR', '0.3', 'mn', ',', 'compared', 'loss', 'EUR', '2.2', 'mn', 'first', 'quarter', '2005', '.Pretax', 'profit', 'totalled', 'EUR', '2.0', 'mn', ',', 'compared', 'loss', 'EUR', '159.2', 'mn', 'fourth', 'quarter', '2008', '.Pretax', 'profit', 'totalled', 'EUR', '80.8', 'mn', ',', 'compared', 'loss', 'EUR', '13.1', 'mn', 'corresponding', 'period', '2009', '.Previously', ',', 'EB', 'delivered', 'custom', 'solution', 'LG', 'Electronics', 'making', 'commercially', 'available', 'mobile', 'terminal', 'vendors', 'well', 'wireless', 'operators', '.Previously', ',', 'Vaahto', 'Pulp', 'supplied', 'headboxes', 'rectifier', 'roll', 'dilution', 'control', 'technology', 'Stora', 'Enso', 'mill', 'Imatra', ',', 'eastern', 'Finland', '.Production', 'expand', 'Elcoteq', 'locations', 'including', 'Mexico', 'Hungary', '2010', '.Profit', 'accounting', 'period', 'EUR', '0.3', 'mn', '.Rapala', 'said', 'estimates', 'make', 'savings', '1', '2', 'mln', 'eur', 'year', 'centralising', 'French', 'operations', 'site', '.Re', 'use', 'back', 'PET', 'bottles', 'steadily', 'increased', 'rate', 'use', 'strapping', 'tape', 'picked', 'dip', '2005', ',', 'Petcore', 'said', 'previously', '.Russia', 'accounted', '9', 'Lagardere', 'magazine', 'division', 'revenue', ',', 'EUR', '114.40', 'mn', 'USD', '148.11', 'mn', '2009', ',', 'USA', '18', '.Sales', 'expected', 'increase', 'year', '2006', ',', 'however', '.Satama', 'net', 'sales', 'would', 'higher', 'year', '.Scanfil', 'expects', 'net', 'sales', '2008', 'remain', '2007', 'level', '.SINGAPORE', 'ICIS', '1', 'Kemira', 'Indian', 'water', 'infrastructure', 'firm', '2', 'IVRCL', 'agreed', 'form', 'join', 'venture', 'includes', 'new', 'inorganic', 'coagulant', 'manufacturing', 'facility', 'Andhra', 'Pradesh', 'state', ',', 'India', ',', 'Finnish', 'water', 'treatment', 'chemicals', 'maker', 'said', 'Tuesday', '.So', ',', 'present', 'time', 'Nokian', 'tires', 'contract', 'tires', 'production', 'China', '.Solvay', 'S.A.', 'engaged', 'Poyry', 'provide', 'project', 'management', ',', 'engineering', ',', 'procurement', ',', 'site', 'services', 'hydrogen', 'peroxide', 'production', 'plant', 'built', 'Solvay', 'BASF', 'joint', 'venture', 'BASF', 'Zandvliet', 'site', ',', 'Belgium', '.SOUTHFIELD', ',', 'Mich.', 'Central', 'Corporate', 'Credit', 'Union', 'distribute', 'patronage', 'dividends', 'members', 'waiving', 'service', 'fees', 'incurred', 'months', 'July', 'November', '2008', ',', 'tune', 'estimated', '1', 'million', '.SRV', 'raise', 'holding', 'company', 'summer', '2008', ',', 'majority', '.Systeemitiimi', 'sales', 'project', 'resources', 'strengthened', ',', 'director', 'Paul', 'Skogberg', 'said', '.Tallink', 'claims', 'watertight', 'doors', 'Vana', 'Tallinn', 'Regina', 'Baltica', ',', 'including', 'electrical', 'systems', ',', 'fully', 'working', 'order', '.Talvivaara', 'secured', '10', 'year', 'agreement', '100', 'cent', 'main', 'output', 'nickel', 'cobalt', 'Norilsk', 'Nickel', 'entered', 'long', 'term', 'zinc', 'streaming', 'agreement', 'Nyrstar', 'NV', '.Tekla', 'Group', 'net', 'sales', '2005', 'approximately', '38', 'million', 'euros', '.TeliaSonera', 'secured', 'deliveries', '4G', 'modems', 'support', '3G', '2G', 'second', 'quarter', '2010', '.The', '50', '50', 'joint', 'venture', ',', 'called', 'Nokia', 'Siemens', 'Networks', ',', 'comprised', 'Nokia', 'network', 'business', 'group', 'Siemens', 'carrier', 'related', 'operations', ',', 'creating', 'estimated', 'synergies', '1.5', 'billion', 'euros', '1.9', 'billion', '2010', ',', 'Nokia', 'said', '.The', 'acquisition', 'Boomeranger', 'Boats', 'Oy', 'line', 'Done', 'Solutions', 'strategy', 'developing', 'business', 'company', 'acquisitions', '.The', 'actions', 'expected', 'deliver', 'annual', 'cost', 'savings', 'EUR15', '20m', '.The', 'agreement', ',', 'cover', 'monitoring', ',', 'maintenance', ',', 'server', 'capacity', 'service', 'backups', ',', 'year', 'extension', 'option', '.The', 'amendment', 'incur', 'additional', 'costs', '.The', 'announced', 'restructuring', 'significantly', 'decrease', 'Company', 'indebtedness', '.The', 'companies', 'expect', 'first', 'orders', 'already', '2011', '.The', 'company', 'expects', 'sell', 'products', 'Russian', 'region', '.The', 'company', 'said', 'board', 'directors', 'proposed', 'profit', 'distribution', 'EUR0', '.92', 'share', '.The', 'company', 'closed', 'last', 'year', 'turnover', 'four', 'million', 'euros', '.The', 'company', 'expects', 'net', 'sales', '65', 'mln', 'euro', '85.1', 'mln', '2006', '.The', 'company', 'expects', 'sales', 'revenue', 'RMB8', '.0', 'billion', '2009', '.The', 'company', 'feels', 'leases', 'prime', 'locations', 'due', 'several', 'producing', 'formations', 'immediate', 'area', '.The', 'company', 'exported', 'twenty', 'European', 'countries', 'well', 'Africa', '.The', 'company', 'well', 'positioned', 'Brazil', 'Uruguay', '.The', 'company', 'reports', 'loss', 'period', 'EUR', '0.4', 'mn', 'compared', 'loss', 'EUR', '1.9', 'mn', 'corresponding', 'period', '2005', '.The', 'company', 'net', 'sales', '2009', 'totalled', 'MEUR', '307.8', 'operating', 'margin', '13.5', 'cent', '.The', 'company', 'operating', 'profit', '2006', 'stood', '39.6', 'mln', 'euro', '57.9', 'mln', '.The', 'company', 'profit', 'totaled', 'Ls', '134,700', '.The', 'company', 'targets', 'sales', 'Ls', '27.1', 'mn', 'Ls', '23.498', 'mn', 'profit', 'Ls', '300,000', 'Ls', '371,500', '2007', '.The', 'company', 'turned', 'earnings', 'share', 'EPS', 'EUR', '0.03', 'versus', 'loss', 'share', 'EUR', '0.01', '.The', 'company', 'build', 'altogether', '130', 'new', 'substations', 'year', '.The', 'diesel', 'margin', 'remained', 'high', '.The', 'divestment', 'line', 'company', 'plans', 'focus', 'selected', 'growth', 'segments', 'streamline', 'corporate', 'structure', ',', 'company', 'explained', '.The', 'divestment', 'Raisio', 'margarine', 'business', 'May', '2009', 'gave', 'company', 'clearer', 'focus', 'grain', 'based', 'products', '.The', 'earnings', 'comparative', 'period', 'included', 'capital', 'gain', 'EUR', '8mn', 'OMX', 'shares', '.The', 'Finnish', 'textiles', 'clothing', 'company', 'Marimekko', 'Corporation', 'OMX', 'Helsinki', 'MMO1V', 'reported', 'Wednesday', '5', 'November', 'operating', 'profit', 'EUR8', '.1', 'net', 'sales', 'EUR59m', 'period', 'January', 'September', '2008', '.The', 'first', 'quarter', 'expected', 'line', 'analysts', 'forecasts', '.The', 'fourth', 'quarter', 'saw', 'Rapala', 'swing', 'back', 'pretax', 'profit', '1.5', 'mln', 'eur', 'year', 'earlier', 'loss', '1.2', 'mln', 'back', '30', 'pct', 'uplift', 'sales', '44.8', 'mln', 'eur', ',', 'stronger', 'performance', 'North', 'America', '.The', 'German', 'subsidiary', 'produce', 'software', 'development', 'services', 'Ixonos', 'Telecommunications', 'Business', 'Unit', 'client', 'projects', '.The', 'Group', 'consolidated', 'net', 'sales', '2008', 'totaled', '3.4', 'billion', 'euros', 'employs', 'approximately', '13,000', 'persons', '.The', 'Group', 'consolidated', 'net', 'sales', '2009', 'totaled', '1.5', 'billion', 'euros', 'employs', 'approximately', '10,000', 'persons', '.The', 'Group', 'revenue', 'amounts', 'EUR', '80', 'million', ',', 'half', 'accounted', 'exports', '.The', 'Group', 'revenue', '2008', 'amounted', 'EUR', '94', 'million', 'company', 'currently', 'employs', 'approximately', '730', 'people', '.The', 'Group', 'revenue', '2009', 'amounted', 'EUR', '70', 'million', 'company', 'currently', 'employs', 'approximately', '780', 'people', '.The', 'group', 'expand', 'chain', 'include', '45', 'stores', '.The', 'insurance', 'division', 'turned', 'EUR120m', 'profit', '.The', 'ISO', 'certification', 'demonstrates', 'moving', 'forward', 'quality', 'commitments', 'customers', '.', 'The', 'long', 'term', 'contract', 'global', '.The', 'members', 'management', 'team', 'contribute', 'adjustment', 'measures', 'temporary', 'salary', 'cut', '5', '.The', 'offer', 'represents', 'premium', '24', 'stock', 'closing', 'price', 'Friday', '.The', 'opening', 'portal', 'part', 'expansion', 'strategy', 'Alma', 'Media', 'Marketplaces', 'business', 'unit', '.The', 'recovery', 'demand', 'started', 'toward', '2009', ',', 'continued', 'January', 'March', '2010', '.The', 'Healthcare', 'Trade', 'business', 'supports', 'Oriola', 'KD', 'strategy', 'focus', 'Pharmaceutical', 'Wholesale', 'Retail', 'businesses', '.The', 'lead', 'pretax', 'capital', 'gain', 'EUR', '22', 'million', 'Finnish', 'company', '2011', '.The', 'segment', 'annual', 'revenue', 'approximately', 'EUR400m', ',', 'company', 'said', '.The', 'soapstone', 'deposits', 'Medvezhyegorsk', 'area', 'expected', 'increase', 'Tulikivi', 'current', 'reserves', 'considerably', '.The', 'solvency', 'capital', 'ratio', 'companies', '2.7', 'times', 'solvency', 'limit', '.Then', ',', 'said', 'contract', 'estimated', 'contribute', 'EUR150m', 'net', 'sales', '2010', '.These', 'measures', 'expected', 'produce', 'annual', 'cost', 'savings', 'EUR', '1.5', 'million', 'starting', '2007', '.This', 'bring', 'cost', 'savings', 'EUR', '3mn', 'year', '.Through', 'acquisition', 'Solteq', 'expand', 'solutions', 'offering', 'Microsoft', 'Dynamics', 'business', 'software', 'products', '.Under', 'agreement', ',', 'Japrotek', 'deliver', 'nine', 'storage', 'tanks', 'volume', 'range', '1,000', '3,000', 'included', 'agitators', '.Under', 'agreement', ',', 'TietoEnator', 'provide', 'Blyk', 'extended', 'application', 'business', 'process', 'management', 'services', 'IT', 'infrastructure', '.Under', 'agreement', 'Ponsse', 'provide', 'forest', 'machine', 'maintenance', 'services', 'Stora', 'Enso', 'Russian', 'wood', 'procurement', 'operations', '.Under', 'contract', 'Cramo', 'Sverige', 'subcontractor', 'Brinkab', 'AB', 'provide', 'scaffolding', 'installations', 'LKAB', 'new', 'pellets', 'plant', 'Kiruna', 'northern', 'Sweden', '.Under', 'terms', 'agreement', 'Lextel', 'Group', 'committed', 'opening', 'order', 'EUR3', '.75', 'Benefon', 'mobile', 'units', 'co', 'branded', 'Capitel', 'China', 'market', '.Vacon', 'office', 'support', 'customers', 'Brazil', 'South', 'America', '.We', 'capitalize', 'experience', 'number', 'similar', 'bridge', 'projects', 'Nordic', 'countries', '.Via', 'move', ',', 'company', 'aims', 'annual', 'savings', 'EUR3m', ',', 'main', 'part', 'expected', 'realized', 'year', '.With', 'second', 'phase', 'new', 'Innova', 'building', ',', 'Tecnopolis', 'presence', 'Jyvaskyla', 'increase', 'total', 'approximately', '62,000', 'floor', 'square', 'meters', '.With', 'acquisition', 'Panostaja', 'Oyj', 'expands', 'business', 'area', 'specialising', 'digital', 'printing', '.', 'Moody', 'said', 'gave', 'P', 'A1', 'long', 'term', 'senior', 'unsecured', 'P', 'P', '1', 'short', 'term', 'debt', 'ratings', 'Finnish', 'lender', 'Aktia', 'Bank', 'EUR1bn', 'USD1', '.4', 'bn', 'euro', 'medium', 'term', 'note', 'EMTN', 'program', '25', 'March', '2011', '.Brazilian', 'profit', 'interbank', 'Camara', 'Interbancaria', 'Pagamentos', 'CIP', 'acquired', 'solutions', 'US', 'business', 'integration', 'solutions', 'provider', 'Sterling', 'Commerce', ',', 'latter', 'company', 'said', 'statement', '.', '``', 'Leipurin', 'growing', 'rapidly', 'internationalizing', 'Group', '.', '``', 'NTC', 'geographical', 'presence', 'complements', 'Ramirent', 'existing', 'network', 'brings', 'us', 'closer', 'customers', 'East', 'Bohemia', 'region', 'CzechRepublic', '.', '``', 'Several', 'growth', 'initiatives', 'chosen', 'geographic', 'areas', 'already', 'ongoing', ',', 'continued', ',', 'noting', 'Lindex', 'opened', 'first', 'store', 'Czech', 'Republic', 'autumn', 'Brno', '.', '``', 'We', 'analyzed', 'Kaupthing', 'Bank', 'Sweden', 'found', 'business', 'fits', 'well', 'Alandsbanken', ',', 'said', 'Alandsbanken', 'chief', 'executive', 'Peter', 'Wiklof', 'statement', '.2010', '16', 'July', '2010', 'Finnish', 'steel', 'maker', 'Rautaruukki', 'Oyj', 'HEL', 'RTRKS', ',', 'Ruukki', ',', 'said', 'today', 'turned', 'net', 'profit', 'EUR20m', 'second', 'quarter', '2010', 'net', 'loss', 'EUR94m', 'corresponding', 'period', 'last', 'year', '.28', 'October', '2010', 'Finnish', 'wood', 'products', 'technology', 'supplier', 'Raute', 'Oyj', 'HEL', 'RUTAV', 'said', 'today', 'swung', 'net', 'profit', 'EUR3m', 'first', 'nine', 'months', '2010', 'versus', 'net', 'loss', 'EUR5', '.2', 'period', 'year', 'earlier', '.3', 'February', '2011', 'Finnish', 'broadband', 'data', 'communication', 'systems', 'provider', 'Teleste', 'Oyj', 'HEL', 'TLT1V', 'said', 'yesterday', 'net', 'profit', 'rocketed', 'EUR4', '.8', '2010', 'EUR416', ',000', '2009', 'lifted', 'dividend', 'proposal', '.4', 'February', '2011', 'Finnish', 'broadband', 'data', 'communication', 'systems', 'provider', 'Teleste', 'Oyj', 'HEL', 'TLT1V', 'said', 'Wednesday', 'net', 'profit', 'rocketed', 'EUR4', '.8', '2010', 'EUR416', ',000', '2009', 'lifted', 'dividend', 'proposal', '.agreement', 'SHB', '30', 'December', '2009', 'Finnish', 'financial', 'services', 'group', 'Aktia', 'HEL', 'AKTAV', 'concluded', 'market', 'making', 'agreement', 'Svenska', 'Handelsbanken', 'STO', 'SHB', 'A', ',', 'SHB', ',', 'two', 'parties', 'said', 'today', '.AUSTIN', ',', 'Texas', ',', 'Sept.', '6', 'Texas', 'Department', 'Of', 'Transportation', 'awards', 'contract', 'Teleste', 'Video', 'Compression', 'Distribution', 'Equipment', '.Cargotec', 'Corporation', ',', 'Press', 'Release', ',', 'August', '26', ',', '2008', '10', 'a.m.', 'Finnish', 'time', 'Cargotec', 'MacGREGOR', 'business', 'area', 'providing', 'marine', 'cargo', 'handling', 'offshore', 'load', 'handling', 'solutions', 'received', 'significant', 'offshore', 'crane', 'retrofit', 'order', '.CEO', 'company', 'Tarmo', 'Noop', 'said', 'growth', 'premium', 'beers', 'biggest', '.EBIT', 'totalled', 'EUR', '14.4', 'mn', ',', 'compared', 'loss', 'EUR', '0.3', 'mn', 'corresponding', 'period', '2009', '.Finnish', 'broadband', 'data', 'communication', 'systems', 'provider', 'Teleste', 'Oyj', 'HEL', 'TLT1V', 'said', 'yesterday', 'returned', 'net', 'profit', 'EUR', '2.7', 'million', 'USD', '3.8', 'first', 'nine', 'months', '2010', 'versus', 'net', 'loss', 'EUR', '579,000', 'period', '2009', '.Finnish', 'construction', 'company', 'Lemminkainen', 'Oyj', 'HEL', 'LEM1S', 'said', 'yesterday', 'would', 'build', 'plastic', 'film', 'extrusion', 'plant', 'packaging', 'materials', 'supplier', 'Ab', 'Rani', 'Plast', 'Oy', 'Lemminkainen', 'Kaluga', 'industrial', 'park', 'Russia', '.Finnish', 'consumer', 'packaging', 'manufacturer', 'Huhtamaki', 'Oyj', 'said', 'swung', 'net', 'profit', '84.1', 'mln', 'euro', '105.6', 'mln', 'first', 'nine', 'months', '2006', 'net', 'loss', '2.6', 'mln', 'euro', '3.3', 'mln', 'period', '2005', '.Finnish', 'dental', 'group', 'Oral', 'Hammaslaakarit', 'Oyj', 'posted', 'total', 'net', 'profit', '849,000', 'euro', '1.1', 'mln', 'first', 'nine', 'months', '2006', 'versus', 'net', 'loss', '331,000', 'euro', '421,000', 'period', '2005', '.Finnish', 'IT', 'consultancy', 'Satama', 'Interactive', 'Oyj', 'posted', 'net', 'profit', '1.4', 'mln', 'euro', '2.0', 'mln', 'first', 'nine', 'months', '2007', ',', 'compared', 'net', 'loss', '462,000', 'euro', '664,000', 'period', '2006', '.Finnish', 'pulp', 'paper', 'machinery', 'maker', 'Vaahto', 'Group', 'Oyj', 'swung', '1.1', 'mln', 'euro', '1.4', 'mln', 'net', 'profit', 'fiscal', '2005', '06', ',', 'ended', 'August', '31', ',', '2006', ',', '249,000', 'euro', '319,000', 'net', 'loss', 'fiscal', '2004', '05', '.Finnish', 'silicon', 'wafers', 'manufacturer', 'Okmetic', 'Oyj', 'said', 'swung', 'net', 'profit', '4.9', 'mln', 'euro', '6.3', 'mln', 'first', 'nine', 'months', '2006', 'net', 'loss', '1.8', 'mln', 'euro', '2.3', 'mln', 'year', 'earlier', '.Glaston', 'efficiency', 'measures', 'units', '.Growth', 'strongest', 'F', 'Secure', 'operator', 'ISPs', ',', 'mobile', 'operators', 'cable', 'operators', 'business', '.In', 'second', 'quarter', '2010', ',', 'company', 'net', 'profit', 'EUR1', '.7', 'compared', 'net', 'loss', 'EUR1', '.3', 'April', 'June', '2009', '.It', 'therefore', 'seems', 'Finnish', 'shipping', 'company', 'Viking', 'Line', 'get', 'subsidy', 'needs', 'order', 'new', 'LNG', 'fuelled', 'vessel', '.Jarmo', 'Honkamaa', ',', 'head', 'oil', 'refining', 'business', 'Neste', 'Oil', ',', 'says', 'situation', 'looks', 'promising', 'viewpoint', '.ADP', 'News', 'Feb', '25', ',', '2009', 'Finnish', 'printed', 'circuit', 'board', 'PCB', 'maker', 'Aspocomp', 'Group', 'Oyj', 'HEL', 'ACG1V', 'said', 'today', 'swung', 'net', 'profit', 'EUR', '300,000', 'USD', '385,000', '2008', 'versus', 'net', 'loss', 'EUR', '65.3', 'millionADP', 'News', 'Nov', '6', ',', '2008', 'Finnish', 'retail', 'software', 'developer', 'Aldata', 'Solution', 'Oyj', 'OMX', 'ALD1V', 'said', 'today', 'swung', 'net', 'profit', 'EUR', '2.1', 'million', 'USD', '2.7', 'first', 'nine', 'months', '2008', 'versus', 'net', 'loss', 'EUMformation', 'Nokia', 'noted', 'established', 'interoperability', 'agreements', 'cover', 'commercially', 'proven', ',', 'standards', 'based', 'management', 'mobile', 'devices', ',', 'well', 'mobile', 'device', 'security', 'mobile', 'application', 'management', '.mn', ',', 'pretax', 'profit', 'EUR', '46.4', 'mn', 'EUR', '35.8', 'mn', 'third', 'quarter', '2006', '.Net', 'sales', ',', 'however', ',', 'increase', '2005', '.Nokia', 'deliver', 'WCDMA', '3G', 'HSPA', 'radio', 'network', ',', 'including', 'modular', ',', 'high', 'capacity', 'Nokia', 'Flexi', 'WCDMA', 'base', 'station', 'Indosat', '.Operating', 'profit', 'totaled', 'EUR', '17.7', 'mn', 'compared', 'EUR', '17.6', 'mn', 'corresponding', 'period', '2007', '.Order', 'intake', ',', 'hand', ',', 'expected', 'stronger', '2007', '.Outokumpu', 'Finland', ',', 'stainless', 'steel', 'manufacturer', ',', 'plans', 'enter', 'supply', 'agreement', 'Indian', 'Railways', '.Profit', 'taxes', 'EUR', '0.1', 'mn', ',', 'compared', 'EUR', '0.4', 'mn', 'previous', 'year', '.Profit', 'period', 'EUR', '15.6', 'mn', 'compared', 'EUR', '14.1', 'mn', '2007', '.Quarterly', 'diluted', 'EPS', 'continuing', 'operations', 'came', '0.21', 'eur', ',', 'compared', 'last', 'year', '0.12', 'eur', '.Rapala', 'estimates', 'net', 'sales', '2008', 'increase', '8.0', 'pct', '12', 'pct', 'assuming', '2007', 'exchange', 'rates', '.Raute', 'posted', 'net', 'profit', '1.8', 'mln', 'euro', '2.6', 'mln', 'third', 'quarter', '2007', ',', 'compared', 'net', 'loss', '299,000', 'euro', '430,000', 'corresponding', 'period', '2006', '.Return', 'equity', 'stood', '18.3', 'compared', '15.4', 'third', 'quarter', '2005', '.Russian', 'export', 'duties', 'activate', 'harvesting', 'Finland', ',', 'sales', 'Russia', 'increase', '.Tectia', 'Corporation', 'HEL', 'TEC1V', ',', 'provider', 'real', 'time', 'security', 'solutions', ',', 'today', 'announced', 'appointed', 'LAN2LAN', ',', 'provider', 'IT', 'services', 'UK', ',', 'distribute', 'data', 'security', 'manage', 'file', 'transfer', 'software', '.The', 'Bristol', 'Port', 'Company', 'sealed', 'million', 'pound', 'contract', 'Cooper', 'Specialised', 'Handling', 'supply', 'four', '45', 'tonne', ',', 'customised', 'reach', 'stackers', 'Konecranes', '.The', 'company', 'expects', 'net', 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'SDM', 'Czech', 'Republic', 'undisclosed', 'sum', '.18', 'March', '2010', 'A', 'leakage', 'gypsum', 'pond', 'detected', 'today', 'Talvivaara', '.7', 'March', '2011', 'Finnish', 'IT', 'company', 'Digia', 'Oyj', 'HEL', 'DIG1V', 'announced', 'today', 'agreement', 'mobile', 'phone', 'major', 'Nokia', 'Oyj', 'HEL', 'NOK1V', 'acquire', 'commercial', 'licensing', 'service', 'business', 'related', 'Nokia', 'Qt', 'technology', '.8,600', ',', 'time', 'investment', 'fully', 'leased', 'several', 'tenants', '.A', 'filter', 'used', 'pre', 'process', 'packets', 'determine', 'need', 'processed', 'processor', 'network', 'device', '.A', 'profit', 'still', 'target', '.A', 'spokeswoman', 'Italian', 'fashion', 'house', 'declined', 'comment', 'settlement', '.A', 'total', 'EUR73', '.7', 'provided', 'secured', 'senior', 'three', 'year', 'debt', 'syndicate', ',', 'involving', 'Pohjola', 'Bank', 'HEL', 'POH1S', ',', 'Finnish', 'arm', 'Nordea', 'Bank', 'AB', 'STO', 'NDA', ',', 'Sampo', 'Bank', 'HEL', 'SAMAS', '.A', 'total', '140', 'jobs', 'reduced', 'Raahe', 'Steel', 'Works', '.A', 'total', '15,000', 'new', 'Citycon', 'shares', 'nominal', 'value', 'EUR', '1.35', 'share', 'subscribed', '17', '23', 'March', '2006', 'exercising', 'A', 'B', 'C', 'options', 'based', 'company', 'stock', 'option', 'plan', '1999', '.A', 'total', 'six', 'polled', 'analysts', 'rated', 'M', 'real', 'two', 'gave', '``', 'buy', '``', 'accumulate', ',', 'three', 'gave', '``', 'hold', 'gave', '``', 'sell', '.ABN', '59', '087', '901', '620', 'represent', '5.10', 'voting', 'rights', 'share', 'capital', 'Citycon', 'Oyj', '.According', 'Finnish', 'Aktia', 'Bank', 'Managing', 'Director', 'Jussi', 'Laitinen', ',', 'bank', 'aim', 'triple', 'number', 'customers', 'Finland', 'next', 'five', 'years', '.According', 'Finnish', 'financial', 'services', 'group', 'Sampo', 'CEO', ',', 'Bj', '¦rn', 'Wahlroos', ',', 'Danish', 'Danske', 'Bank', 'acquisition', 'Sampo', 'Bank', 'EUR', '4bn', 'largest', 'cash', 'deal', 'Finland', 'economic', 'history', '.According', 'Finnish', 'L', 'Ænnen', 'Tehtaat', 'CEO', 'Matti', 'Karppinen', ',', 'L', 'Ænnen', 'Tehtaat', 'sold', 'majority', 'feed', 'grain', 'business', ',', 'quickly', 'start', 'look', 'acquisitions', '.According', 'Finnish', 'Scanfil', 'founder', 'chairman', 'board', ',', 'Jorma', 'J.', 'Takanen', ',', 'company', 'look', 'growth', 'abroad', '.Finnish', 'property', 'investment', 'company', 'Citycon', 'expand', 'refurbish', '_kersberga', 'shopping', 'center', 'Stockholm', ',', 'Sweden', '.After', 'recurring', 'items', 'EUR', '177mn', ',', 'profit', 'amounted', 'EUR', '20mn', '.After', 'acquisition', ',', 'Basware', 'preliminary', 'pro', 'forma', 'net', 'sales', '2005', 'amount', 'EUR', '52.6', 'mn', ',', 'preliminary', 'pro', 'forma', 'operating', 'profit', 'amounts', 'EUR', '7.1', 'mn', '.After', ',', 'Outokumpu', 'share', 'technology', 'unit', 'reduced', '12', '20', 'percent', '.After', 'transaction', ',', 'Danske', 'Bank', 'becomes', 'equal', 'player', 'Nordic', 'bank', 'group', 'Nordea', 'Nordic', 'countries', '.Ahlstrom', ',', 'headquartered', 'Helsinki', ',', 'Finland', ',', 'global', 'company', 'involved', 'development', ',', 'manufacture', 'marketing', 'high', 'performance', 'fibre', 'based', 'materials', '.Ahlstrom', ',', 'headquartered', 'Helsinki', ',', 'Finland', ',', 'global', 'leader', 'development', ',', 'manufacture', 'marketing', 'high', 'performance', 'fibre', 'based', 'materials', '.Ahlstrom', 'Corporation', 'Anne', 'Pirila', 'Director', ',', 'Financial', 'communications', 'Distribution', 'Helsinki', 'Stock', 'Exchange', 'Main', 'media', 'Ahlstrom', 'brief', 'Ahlstrom', 'leader', 'development', ',', 'manufacture', 'marketing', 'high', 'performance', 'fiber', 'based', 'materials', '.Ahlstrom', 'Corporation', 'Seppo', 'Parvi', ',', 'CFO', 'Distribution', 'Main', 'media', 'www.ahlstrom.com', 'Ahlstrom', 'brief', 'Ahlstrom', 'global', 'leader', 'development', ',', 'manufacture', 'marketing', 'high', 'performance', 'nonwovens', 'specialty', 'papers', '.Ahlstrom', 'Corporation', 'STOCK', 'EXCHANGE', 'ANNOUNCEMENT', '7.2.2007', '10.30', 'A', 'total', '56,955', 'new', 'shares', 'Ahlstrom', 'Corporation', 'subscribed', 'option', 'rights', 'company', 'stock', 'option', 'programs', 'I', '2001', 'II', '2001', '.Aldata', 'Solution', ',', 'global', 'company', 'engaged', 'supplier', 'consumer', 'business', 'process', 'optimization', ',', 'announced', 'details', 'Dollars', 'Dinosaurs', 'program', '.Aldata', 'Solution', 'Oyj', 'Thomas', 'Hoyer', 'CFO', 'More', 'information', 'Aldata', 'Solution', 'Oyj', ',', 'Thomas', 'Hoyer', ',', 'CFO', ',', 'tel', '.', '358', '45', '670', '0491', 'Aldata', 'brief', 'Aldata', 'Solution', 'global', 'leaders', 'supply', 'chain', 'software', 'retail', ',', 'wholesale', 'logistics', 'companies', '.ALEXANDRIA', ',', 'Va.', ',', 'March', '20', 'Patrik', 'Flykt', 'Timo', 'Alakoski', ',', 'Helsinki', ',', 'Finland', ',', 'Tapio', 'Suihko', 'Nadarajah', 'Asokan', ',', 'Espoo', ',', 'Finland', ',', 'developed', 'method', 'mobility', 'support', 'Internet', 'type', 'protocol', 'traffic', 'communication', 'system', '.ALEXANDRIA', ',', 'Va.', ',', 'Nov.', '19', 'Erkki', 'Aho', ',', 'Elimaki', ',', 'Finland', ',', 'developed', 'method', 'apparatus', 'conjunction', 'shoe', 'press', '.ALEXANDRIA', ',', 'Va.', ',', 'Nov.', '5', 'Risto', 'Kontturi', 'Rajamaki', ',', 'Finland', ',', 'Jari', 'Ylinen', 'Hyvinkaa', ',', 'Finland', ',', 'developed', 'automated', 'transportation', 'system', 'user', 'controlled', 'transport', 'selection', '.All', 'depends', 'financing', '.Almost', 'two', 'thirds', 'Olvi', 'net', 'sales', 'outside', 'Finland', '.Also', ',', 'CBA', 'issue', 'benchmark', ',', '10', 'year', 'fixed', 'rate', 'deal', 'Euros', '.Amanda', 'Capital', 'investments', '22', 'private', 'equity', 'funds', '200', 'unquoted', 'companies', 'mainly', 'Europe', '.Among', 'industrial', 'stocks', ',', 'Metso', 'added', '0.53', 'pct', '40.04', 'eur', ',', 'Wartsila', 'B', '0.77', 'pct', '47.87', 'eur', 'Rautaruukki', 'K', '1.08', 'pct', 'lower', '37.56', 'eur', '.Among', 'paper', 'issues', ',', 'Stora', 'Enso', 'R', 'little', 'changed', '0.08', 'pct', '12.03', 'eur', ',', 'UPM', 'Kymmene', '0.48', 'pct', 'higher', '18.77', 'eur', 'M', 'real', 'B', 'added', '0.50', 'pct', '3.99', 'eur', '.An', 'Android', 'app', 'coming', 'soon', '.An', 'Apple', 'spokeswoman', 'said', 'company', 'declined', 'comment', '.Analysts', 'surveyed', 'Thomson', 'Financial', 'expected', 'revenue', '69', 'million', 'quarter', '.Around', '250', 'reductions', 'implemented', 'pension', 'arrangements', '.Around', '50', 'percent', 'world', 'ro', 'ro', 'fleet', '25', 'years', 'old', 'needs', 'scrapped', 'environmental', 'reasons', '.As', 'consequence', 'merger', 'number', 'administration', 'personnel', 'factories', 'reduced', 'six', '.As', 'result', ',', 'number', 'personnel', 'Finland', 'reduced', '158', '.As', 'result', '20', 'persons', 'longer', 'needed', '.As', 'much', 'biomass', 'used', 'sourced', 'locally', ',', 'rest', 'plant', 'fuel', 'needs', 'peat', '.As', 'part', 'transaction', ',', '_', 'Ænekoski', 'paper', 'mill', 'remained', 'M', 'real', 'ownership', 'continued', 'Galerie', 'Art', 'production', 'Sappi', 'long', 'term', 'contract', '.ASPO', 'Plc', 'STOCK', 'EXCHANGE', 'ANNOUNCEMENT', 'May', '4', ',', '2006', '10', '00', 'a.m.', 'An', 'increase', 'share', 'capital', 'Aspo', 'Plc', 'totaling', 'EUR', '1,125.60', 'registered', 'today', '.Aspo', 'Group', 'structure', 'business', 'operations', 'developed', 'persistently', 'without', 'predefined', 'schedules', '.Aspocomp', 'Group', ',', 'headquartered', 'Helsinki', ',', 'Finland', ',', 'develops', 'interconnection', 'solutions', 'electronics', 'industry', '.Based', 'Helsinki', ',', 'Finland', ',', 'Ramirent', 'branches', '13', 'Nordic', ',', 'central', 'Eastern', 'European', 'countries', '.Based', '2005', 'calendar', 'year', 'combined', 'company', 'EUR15', '.8', 'bn', 'pro', 'forma', 'annual', 'revenues', 'expected', 'start', 'operations', '60,000', 'employees', '.BAVARIA', 'Industriekapital', 'AG', '2006', 'revenues', 'EUR', '333', 'million', ',', 'EBITDA', 'EUR', '51', 'million', '.Biohit', 'said', 'reduce', 'number', 'leased', 'personnel', '10', ',', 'lay', '10', 'personnel', '.BM4', 'middle', 'layer', 'headbox', 'equipped', 'dilution', 'control', 'system', '.Boomerang', 'Boats', 'net', 'sales', 'EUR', '4.1', 'mn', 'made', 'operating', 'profit', 'EUR', '0.4', 'mn', '2006', '.By', '2006', ',', 'number', 'joint', 'branch', 'offices', 'total', '170', '.Cameco', 'typically', 'prices', 'sales', 'contracts', 'using', '40', '60', 'ratio', 'fixed', 'prices', 'spot', 'prices', '.CapMan', ',', 'Stockholm', 'headquartered', 'private', 'equity', 'firm', ',', 'held', 'first', 'close', 'second', 'private', 'equity', 'real', 'estate', 'fund', 'continues', 'push', 'property', 'sector', '.Cargotec', 'business', 'areas', 'include', 'container', 'handling', 'solutions', 'business', 'area', 'Kalmar', 'marine', 'cargo', 'handling', 'offshore', 'load', 'handling', 'solutions', 'business', 'area', 'MacGREGOR', '.Cargotec', 'sales', 'totalled', 'EUR', '3.4', 'billion', '2008', 'employs', 'approximately', '11,000', 'people', '.Cargotec', 'move', 'Hallberg', 'Ivarsson', 'service', 'installation', 'business', 'roof', 'service', 'center', 'Kalmar', 'MacGregor', 'solutions', 'Gothenburg', '.Citigroup', ',', 'Inc', 'NYSE', 'C', ',', 'Deutsche', 'Bank', 'NYSE', 'DB', 'Pohjola', 'Bank', 'lead', 'managers', '.Coffee', 'served', 'starting', '14', '30', 'EET', 'well', 'event', '.Combined', 'net', 'sales', '2006', '27', 'million', 'EBITDA', '13.7', 'million', '.Combined', 'Basware', 'Enterprise', 'Purchase', 'Pay', 'portfolio', ',', 'provides', 'high', 'level', 'automation', 'procurement', 'invoice', 'workflows', '.Commenting', 'deal', ',', 'Shane', 'Lennon', ',', 'SVP', 'Marketing', '&', 'Product', 'Development', 'GyPSii', 'said', '?', 'Comparable', 'net', 'sales', 'expected', 'increase', '10', '2008', ',', 'line', 'group', 'target', '.Componenta', 'production', 'lines', 'similar', 'sized', 'products', 'Karkkila', 'Finland', ',', 'Weert', 'Netherlands', 'Orhangazi', 'Turkey', ',', 'combined', 'output', 'approximately', '100,000', 'tonnes', 'net', 'sales', 'EUR', '135', 'million', '2007', '.Componenta', 'offer', 'five', 'year', 'subordinated', 'loan', 'subscription', 'public', '.CS', 'Cabot', 'main', 'consumers', 'Czech', 'Slovak', 'market', 'tires', 'producers', 'Barum', 'Continental', 'Matador', 'Continental', '.Curators', 'divided', 'material', 'eight', 'themes', '.Currently', ',', '95', 'Trainers', 'House', 'revenues', 'attributed', 'Finnish', 'market', '.Currently', ',', 'company', 'uses', 'eight', 'similar', 'reach', 'stackers', 'four', 'empty', 'container', 'handlers', 'Konecranes', '.Currently', 'Alfred', 'A', 'Palmberg', 'putting', 'finishing', 'touches', 'Finland', 'biggest', 'ever', 'plumbing', 'bathroom', 'refurbishment', 'projects', 'district', 'Vuosaari', '.Currently', 'Glaston', 'employs', 'approximately', '1,500', 'persons', '.Currently', 'operates', 'fleet', 'eight', 'carriers', ',', 'well', 'nine', 'pushers', 'barges', '.Customers', 'include', 'hotels', 'restaurants', 'well', 'wholesalers', 'retailers', '.Customers', 'wave', 'cards', 'front', 'reader', 'make', 'payments', ',', 'similar', '``', 'touch', 'go', 'cards', 'used', 'transport', 'systems', '.Deliveries', 'start', 'second', 'half', '2007', 'start', 'mill', 'scheduled', '2008', '.Delivery', 'expected', 'place', 'later', 'month', '.Deutsche', 'Beteiligungs', ',', 'well', 'private', 'equity', 'fund', 'manages', ',', 'first', 'bought', '75', 'MCE', 'secondary', 'buyout', 'White', 'Plains', ',', 'N.Y.', ',', 'financial', 'investor', 'Andlinger', '&', 'Co.', '2007', '.Earnings', 'share', 'EPS', '2005', 'amounted', 'loss', 'EUR1', '.26', '.Earnings', 'share', 'EPS', 'first', 'quarter', 'amounted', 'loss', 'EUR0', '.20', '.Economic', 'development', 'China', 'longer', 'taking', 'place', 'East', 'coast', 'Shanghai', 'area', ',', 'Vauramo', 'says', '.Eero', 'Katajavuori', ',', 'currently', 'Group', 'Vice', 'President', ',', 'Human', 'Resources', ',', 'year', 'long', 'sabbatical', 'starting', 'October', '1', ',', '2010', '.Elcoteq', 'expects', 'net', 'sales', 'last', 'quarter', '2010', 'level', 'third', 'quarter', '.Elcoteq', 'global', 'service', 'offering', 'covers', 'entire', 'lifecycle', 'products', ',', 'product', 'development', 'market', 'services', '.ENP', 'Newswire', '22', 'March', '2011', 'Release', 'date', '21032011', 'A', 'total', '13,000', 'Talvivaara', 'Mining', 'Company', 'Plc', 'new', 'shares', 'subscribed', 'period', '1', 'January', '2011', '28', 'February', '2011', 'company', 'stock', 'option', 'rights', '2007A', '.EQ', 'Bank', 'forecasts', 'Olvi', 'net', 'sales', 'EUR', '67mn', 'second', 'quarter', '2009', ',', 'operating', 'profit', 'EUR', '6.4', 'mn', '.Established', '1989', ',', 'CapMan', 'manages', 'Nordic', 'buyout', ',', 'mezzanine', ',', 'technology', ',', 'life', 'science', 'real', 'estate', 'funds', 'approximately', 'EURO', '3', 'billion', '4', 'billion', 'total', 'capital', '.EUR', '152.4', 'mn', 'net', 'interest', 'income', '.Exel', 'board', 'directors', 'propose', 'dividend', '0.2', 'euro', '0.3', 'share', '2006', 'annual', 'general', 'meeting', 'April', '19', ',', '2007', '.Financing', 'project', 'mainly', 'China', '.Finnish', 'component', 'supplier', 'Componenta', 'Corporation', 'OMX', 'Helsinki', 'CTH1V', 'said', 'Monday', '16', 'June', 'changing', 'pricing', 'cycle', 'due', 'increase', 'raw', 'material', 'prices', '.Finnish', 'construction', 'company', 'YIT', 'HEL', 'YTY1V', 'said', 'agreed', 'German', 'facility', 'engineering', 'facility', 'systems', 'firm', 'Caverion', 'EUR73m', 'USD90', '.3', '.Finnish', 'fibers', 'plastics', 'producer', 'Suominen', 'Corporation', 'OMX', 'Helsinki', 'SUY1V', 'reported', 'Wednesday', '22', 'October', 'operating', 'loss', 'EUR0', '.8', 'net', 'sales', 'EUR55', '.2', 'third', 'quarter', '2008', '.Finnish', 'Neste', 'Oil', 'previously', 'list', ',', 'fallen', 'list', 'completely', '.Finnish', 'silicon', 'wafer', 'technology', 'company', 'Okmetic', 'Oyj', 'OMX', 'Helsinki', 'OKM1V', 'said', 'Wednesday', '17', 'September', 'invest', 'EUR6m', 'sensor', 'wafer', 'business', '2009', '.Finnish', 'silicon', 'wafers', 'maker', 'Okmetic', 'Oyj', 'said', 'September', '17', ',', '2008', 'invest', 'total', '15', 'mln', 'euro', '21.3', 'mln', 'sensor', 'wafer', 'business', '.Finnish', 'sports', 'equipment', 'company', 'Amer', 'Sports', 'said', 'decided', 'lay', '370', 'workers', 'Salomon', 'division', 'France', '.Fiskars', 'engaged', 'global', 'supply', 'marine', 'energy', 'equipment', 'solutions', 'services', 'associated', 'company', ',', 'Wartsila', 'Corporation', '.Fiskars', 'R', ',', 'founded', '1649', ',', 'oldest', 'companies', 'world', 'largest', 'manufacturer', 'lightweight', 'stainless', 'steel', 'scissors', 'U.S.', '.FL', 'Group', 'private', 'equity', 'division', 'manages', 'operating', 'companies', ',', 'including', 'Icelandair', 'Group', ',', 'FL', 'Travel', 'Group', ',', 'Bluebird', 'Sterling', '.Following', 'acquisitions', ',', 'Panostaja', 'establish', 'new', 'business', 'unit', 'focus', 'heat', 'treatment', 'metals', '.Following', 'demerger', ',', 'vice', 'president', 'group', 'pharmaceutical', 'trade', 'Finland', ',', 'Jukka', 'Niemi', ',', 'appointed', 'managing', 'director', 'Oriola', 'addition', 'current', 'responsibilities', '.Following', 'divestment', ',', 'Fiskars', 'Outdoor', 'unit', 'comprise', 'brands', 'Gerber', ',', 'Silva', 'Buster', ',', 'focus', 'tools', ',', 'knives', ',', 'compasses', ',', 'mobile', 'lighting', ',', 'pedometers', ',', 'aluminium', 'boats', '.Following', 'issue', ',', 'number', 'shares', 'Swedish', 'company', 'grow', '9', '.Following', 'transaction', ',', 'Tulikivi', 'restructured', 'operations', 'Soapstone', 'Fireplaces', 'Business', ',', 'Natural', 'Stone', 'Product', 'Business', 'Ceramic', 'Products', 'Business', 'units', '.For', '2009', ',', 'net', 'profit', 'EUR', '3', 'million', 'company', 'paid', 'dividend', 'EUR', '1.30', 'apiece', '.For', '2009', ',', 'net', 'profit', 'EUR3m', 'company', 'paid', 'dividend', 'EUR1', '.30', 'apiece', '.Fortum', 'considering', 'taking', 'part', 'nuclear', 'energy', 'projects', 'outside', 'Finland', '.From', '2003', ',', 'emphasis', 'Kyro', 'strategy', 'Glaston', 'growth', '.Garmin', 'fell', '4.5', 'percent', '34.53', '1', '33', 'p.m.', 'New', 'York', ',', 'Google', 'slid', '0.7', 'percent', '576.50', '.GE', 'building', 'facility', 'wind', 'power', 'developer', 'Invenergy', 'Wind', 'LLC', '.Glaston', ',', 'headquartered', 'Tampere', ',', 'Finland', ',', 'growing', 'international', 'glass', 'technology', 'company', '.Group', 'net', 'sales', 'third', 'quarter', '2007', 'totaled', 'EUR', '142.3', 'mn', 'operating', 'profit', 'EUR', '4.3', 'mn', '.GS', 'Engineering', 'install', 'valves', 'liquefied', 'natural', 'gas', 'LNG', 'plant', 'built', 'UAE', 'LNG', 'extraction', 'gas', 'plants', 'operator', 'GASCO', 'Ruwais', ',', 'UAE', '.GUANGDONG', ',', 'October', '26', ',', 'SinoCast', 'Nokia', 'Telecommunications', 'Dongguan', 'branch', 'entered', 'letter', 'intent', 'open', 'Nokia', 'Class', 'Qingyuan', 'Polytechnic', ',', 'Qingyuan', 'City', 'Guangdong', 'Province', '.He', 'joins', 'Technopolis', 'KONE', 'held', 'various', 'positions', 'within', 'Group', ',', 'recently', 'Director', 'Service', 'Business', 'Business', 'Development', 'KONE', 'Middle', 'Eastern', 'operations', '.High', 'winds', 'toppled', 'three', 'semi', 'trailers', 'I', '15', 'north', 'Barstow', '.HK', 'Ruokatalo', 'target', 'know', 'consumers', '.Honkarakenne', 'customer', 'project', 'biggest', 'real', 'estate', 'companies', 'Kazakhstan', ',', 'according', 'company', '.However', ',', 'production', 'almost', 'entirely', 'labor', 'intensive', 'based', 'small', 'investments', '.In', '2006', ',', 'company', 'intends', 'invest', 'significantly', 'expanding', 'distribution', 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'shares', 'Web', 'Plus', 'St.', 'Petersburg', 'Payphones', ',', '51', 'telecom', 'equipment', 'producer', 'Peter', 'Servis', 'number', 'minor', 'assets', '.In', 'addition', 'Russia', ',', 'seek', 'additional', 'growth', 'Ukraine', '.In', 'addition', 'software', 'development', ',', 'new', 'design', 'unit', 'provide', 'mechanical', 'engineering', 'electronics', 'design', '.In', 'addition', 'verification', 'identity', 'digital', 'signatures', ',', 'new', 'state', 'approved', 'Mobile', 'ID', 'enables', 'cast', 'votes', 'elections', 'well', '.In', 'April', '2010', ',', 'Olvi', 'range', 'ciders', 'expand', 'strawberry', 'rhubarb', 'apple', 'pear', 'cider', 'green', 'bottles', 'new', 'shape', '.In', 'April', 'June', '2008', ',', 'Scanfil', 'net', 'sales', 'totalled', 'EUR', '58.7', 'mn', 'operating', 'profit', 'EUR', '6.6', 'mn', '.In', 'banking', ',', 'Sampo', 'A', 'unchanged', '14.24', 'eur', 'Nordea', 'rose', '0.42', 'pct', '9.51', 'eur', '.In', 'Finland', ',', 'Alma', 'Media', 'focus', 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'Southeast', 'Asia', 'year', ',', 'Jung', 'added', '.In', 'third', 'quarter', 'fiscal', '2008', 'Efore', 'swung', 'net', 'loss', 'EUR', '400,000', 'versus', 'net', 'profit', 'EUR', '200,000', 'corresponding', 'period', 'fiscal', '2007', '.Konecranes', 'Oyj', 'KCR1V', 'FH', 'fell', '5.5', 'percent', '20.51', 'euros', ',', 'biggest', 'fall', 'since', 'June', '.Meanwhile', ',', 'minority', 'shareholders', ',', 'expecting', 'TeliaSonera', 'retain', 'bid', ',', 'sell', 'shares', '.Net', 'sales', 'financial', 'year', '2006', 'expected', 'amount', 'EUR20m', 'operating', 'result', 'EBIT', 'expected', 'loss', ',', 'announced', '.Operating', 'loss', 'totaled', 'EUR', '25mn', 'compared', 'profit', 'EUR', '63mn', 'corresponding', 'period', '2005', '.Production', 'levels', 'agreed', 'producers', 'long', 'time', 'ago', ',', 'fall', 'consumption', 'lead', 'losses', '.Return', 'investment', 'ROI', '4.1', 'compared', '43.8', 'first', 'half', '2008', '.SSH', 'COMMUNICATIONS', 'SECURITY', 'CORP', 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'shipping', 'company', 'Finnlines', 'pretax', 'loss', 'totalled', 'EUR', '6.5', 'mn', 'third', 'quarter', '2009', ',', 'compared', 'profit', 'EUR', '0.3', 'mn', 'third', 'quarter', '2008', '.In', 'Finland', ',', 'city', 'Forssa', 'said', 'pay', 'compensation', 'food', 'industry', 'companies', 'HK', 'Ruokatalo', 'Atria', 'lye', 'leak', 'tap', 'water', 'occurred', 'March', '2008', '.Acando', 'AB', 'ACANB', 'SS', 'fell', '8.9', 'percent', '13.35', 'kronor', ',', 'lowest', 'close', 'since', 'Dec.', '11', '.According', 'shipping', 'company', 'Viking', 'Line', ',', 'EU', 'decision', 'significant', 'financial', 'impact', '.According', 'CEO', 'Matti', 'Perkonoja', 'parent', 'company', 'HKScan', ',', 'company', 'performance', 'first', 'quarter', '2010', 'remained', 'clearly', 'level', 'corresponding', 'period', '2009', '.At', 'point', '2010', ',', 'separate', 'company', 'names', ',', 'Palmberg', ',', 'Tekmanni', ',', 'Lemcon', ',', 'Forssan', 'Betoni', ',', 'Suonenjoen', 'Betonituote', ',', 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'2008', '.In', 'reporting', 'period', ',', 'EPS', 'stood', 'EUR0', '.07', 'versus', 'EUR0', '.11', '.Last', 'year', ',', '8.3', 'million', 'passengers', 'flew', 'airline', ',', '4', 'percent', '2007', '.Loss', 'financial', 'items', 'totalled', 'EUR', '9.7', 'mn', ',', 'compared', 'profit', 'EUR', '1.3', 'mn', 'corresponding', 'period', '2008', '.Loss', 'period', 'totalled', 'EUR', '15.6', 'mn', 'compared', 'profit', 'EUR', '6.3', 'mn', '2008', '.Myllykoski', ',', 'paper', 'plant', 'Finland', ',', 'US', 'three', 'Germany', ',', 'revenues', 'EUR286m', 'first', 'half', '2010', 'operating', 'loss', 'EUR12m', ',', 'Reuters', 'said', '.Net', 'loss', 'period', '2009', 'euro18', '.6', 'million', '.Nokia', 'Siemens', 'Networks', 'struggled', 'make', 'profit', 'past', 'two', 'years', '.Operating', 'loss', 'amounted', 'EUR', '0.9', 'mn', 'first', 'half', '2006', 'compared', 'profit', 'EUR', '0.5', 'mn', 'first', 'half', '2005', '.Operating', 'loss', 'Pulp', '&', 'Paper', 'Machinery', 'unit', 'EUR', '3mn', 'September', '2007', 'August', '2008', ',', 'compared', 'profit', 'EUR', '3.7', 'mn', 'year', 'earlier', '.Operating', 'loss', 'totaled', 'EUR', '0.3', 'mn', 'compared', 'profit', 'EUR', '2.2', 'mn', 'corresponding', 'period', '2007', '.Operating', 'loss', 'totaled', 'EUR', '0.8', 'mn', ',', 'compared', 'profit', 'EUR', '0.5', 'mn', '.Operating', 'loss', 'totalled', 'EUR', '12.7', 'mn', ',', 'compared', 'profit', 'EUR', '17.7', 'mn', 'first', 'half', '2008', '.Operating', 'loss', 'totalled', 'EUR', '3.2', 'mn', ',', 'compared', 'profit', 'EUR', '7.2', 'mn', 'third', 'quarter', '2008', '.Operating', 'loss', 'totalled', 'EUR', '4.0', 'mn', ',', 'compared', 'profit', 'EUR', '8.6', 'mn', 'second', 'quarter', '2008', '.Operating', 'loss', 'totalled', 'EUR', '5.2', 'mn', ',', 'compared', 'loss', 'EUR', '3.4', 'mn', 'corresponding', 'period', '2008', '2009', '.Operating', 'profit', 'recurring', 'items', 'EUR', '8.3', 'mn', 'first', 'nine', 'months', '2008', ',', 'compared', 'EUR', '8.4', 'corresponding', 'period', '2007', '.Pretax', 'loss', 'totaled', 'EUR', '117mn', 'compared', 'loss', 'EUR', '65mn', 'corresponding', 'period', '.Pretax', 'loss', 'totalled', 'EUR', '162.3', 'mn', 'compared', 'profit', 'EUR', '253.5', 'mn', '2007', '.Pretax', 'loss', 'totalled', 'EUR', '49.9', 'mn', ',', 'compared', 'loss', 'EUR', '15.4', 'mn', 'corresponding', 'period', '2008', '.Pretax', 'profit', 'totaled', 'EUR', '4.9', 'mn', 'compared', 'EUR', '5.2', 'mn', 'first', 'quarter', '2005', '.Publishing', 'Sweden', 'operating', 'loss', 'EUR', '1.1', 'mn', 'Q1', '2009', ',', 'compared', 'profit', 'EUR', '0.6', 'mn', 'year', 'ago', '.Raisio', 'malting', 'capacity', 'full', 'use', '2008', '.Raw', 'materials', 'prices', 'surged', 'past', 'year', ',', 'fueled', 'part', 'rapid', 'industrialization', 'China', ',', 'India', 'developing', 'nations', '.Rivals', 'say', 'Qualcomm', 'fewer', 'patents', '3G', 'phones', 'earlier', 'versions', 'lower', 'rates', '.The', 'company', 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'electronics', 'manufacturing', 'services', 'EMS', 'company', 'Elcoteq', 'SE', 'posted', 'net', 'loss', '66.4', 'mln', 'euro', '91.2', 'mln', 'first', 'half', '2007', ',', 'compared', 'net', 'profit', '7.1', 'mln', 'euro', '9.8', 'mln', 'period', '2006', '.Finnish', 'laboratory', 'liquid', 'handling', 'diagnostic', 'test', 'systems', 'developer', 'Biohit', 'Oyj', 'OMX', 'Helsinki', 'BIOBV', 'issued', 'Tuesday', '3', 'June', 'profit', 'warning', 'financial', 'year', '2008', '.Finnish', 'retail', 'software', 'developer', 'Aldata', 'Solution', 'Oyj', 'reported', 'net', 'loss', '11.7', 'mln', 'euro', '17.2', 'mln', '2007', 'versus', 'net', 'profit', '2.5', 'mln', 'euro', '3.7', 'mln', '2006', '.Finnish', 'textiles', 'clothing', 'group', 'Marimekko', 'Oyj', 'posted', 'net', 'profit', '7.99', 'mln', 'euro', '10.4', 'mln', '2006', ',', 'compared', '8.4', 'mln', 'euro', '10.9', 'mln', '2005', '.In', '2009', ',', 'Stora', 'Enso', 'net', 'loss', 'EUR', '879.7', 'million', 'compared', 'EUR', '673.4', 'million', 'previous', 'year', '.In', 'January', 'June', '2010', ',', 'diluted', 'loss', 'share', 'stood', 'EUR0', '.3', 'versus', 'EUR0', '.1', 'first', 'half', '2009', '.In', 'October', ',', 'UPM', 'reported', 'third', 'quarter', 'net', 'loss', 'euro86', 'million', '110', 'million', 'compared', 'net', 'profit', 'euro120', 'million', '2007', '.Operating', 'loss', 'amounted', 'EUR', '0.7', 'mn', 'compared', 'profit', 'EUR', '0.8', 'mn', 'second', 'quarter', '2005', '.Operating', 'loss', 'recurring', 'items', 'EUR', '0.9', 'mn', ',', 'compared', 'profit', 'EUR', '11.5', 'mn', '2008', '.Operating', 'profit', 'margin', '8.3', ',', 'compared', '11.8', 'year', 'earlier', '.Operating', 'profit', 'EUR', '1.6', 'mn', '2005', 'compared', 'EUR', '5.9', 'mn', '2004', '.Operating', 'result', 'showed', 'loss', 'EUR', '2.9', 'mn', ',', 'year', ',', 'showed', 'profit', 'EUR', '0.6', 'mn', '.Performance', '2006', 'impacted', 'consolidation', 'trend', 'telecom', 'sector', 'overall', 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'investigators', 'set', 'conduct', 'sight', 'distance', 'tests', 'July', '18', ',', 'using', 'trains', 'similar', 'involved', 'accident', '.The', 'number', 'salaried', 'employees', 'group', 'administration', 'employees', 'dismissed', 'Sievi', 'units', '17', '.The', 'pine', 'oil', 'project', 'related', 'upgrade', 'chemical', 'recovery', 'plant', 'UPM', 'pulp', 'mill', 'Kymi', ',', 'southern', 'Finland', '.The', 'product', 'range', 'includes', 'marinated', 'olives', ',', 'cold', 'cuts', ',', 'pates', ',', 'example', '.The', 'statutory', 'negotiations', 'headquarters', 'part', 'decrease', '.The', 'talks', 'concerned', '160', 'people', 'Finland', 'initial', 'estimate', '35', 'redundancies', ',', 'Fiskars', 'said', '.The', 'terms', 'conditions', 'year', '2003', 'stock', 'option', 'scheme', 'published', 'stock', 'exchange', 'release', '31', 'March', '2003', '.The', 'total', 'number', 'filling', 'stations', 'decrease', 'recently', '.These', 'restrictions', 'apply', 'statutory', 'dividends', '.This', 'action', 'follows', 'personnel', 'negotiations', 'concerning', 'Elcoteq', 'SE', ',', 'Finnish', 'Branch', ',', 'Elcoteq', 'Finland', 'Oy', 'Elcoteq', 'Design', 'Center', 'Oy', '.Unbelievably', ',', 'company', 'makes', 'Fiskars', 'Corporation', 'formed', '1649', 'Dutch', 'merchant', 'named', 'Peter', 'Thorwoste', 'given', 'charter', 'establish', 'blast', 'furnace', 'forging', 'operation', 'small', 'Finnish', 'village', 'Fiskars', '.We', 'cut', 'price', 'projections', 'paper', 'packaging', ',', 'analyst', 'Goldman', 'Sachs', 'said', 'note', 'Monday', '.Why', 'put', 'costly', 'cell', 'phone', 'towers', 'thinly', 'populated', 'areas', 'balloons', 'would', '?', 'Viking', 'Line', 'forced', 'alter', 'timetable', 'ferries', 'traveling', 'Stockholm', 'Helsinki', ',', 'Finland', ',', 'depart', 'night', '.Yakima', 'created', 'position', 'emerging', 'economic', 'downturns', '.zip', ',', 'experts', 'warned', 'Tuesday', '.Finnish', 'industrial', 'group', 'Ruukki', 'Group', 'brought', 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'group', 'AffectoGenimap', 'Oyj', 'said', 'net', 'profit', 'halved', '1.2', 'mln', 'euro', '1.5', 'mln', 'first', 'nine', 'months', '2006', '2.2', 'mln', 'euro', '2.8', 'mln', 'period', '2005', '.Finnish', 'financial', 'software', 'solutions', 'developer', 'BasWare', 'Oyj', 'said', 'net', 'profit', 'fell', '884,000', 'euro', '1.2', 'mln', 'first', 'quarter', '2007', '2.0', 'mln', 'euro', '2.7', 'mln', 'year', 'earlier', '.Finnish', 'glass', 'technology', 'company', 'Glaston', 'Oyj', 'Abp', 'net', 'profit', 'decreased', '2.6', 'mln', 'euro', '3.8', 'mln', 'first', 'nine', 'months', '2007', '7.8', 'mln', 'euro', '11.4', 'mln', 'period', '2006', '.Finnish', 'management', 'software', 'solutions', 'provider', 'Ixonos', 'Oyj', 'net', 'profit', 'decreased', '369,000', 'euro', '575,000', 'first', 'quarter', '2008', '669,000', 'euro', '1.0', 'mln', 'period', '2007', '.Finnish', 'media', 'company', 'Talentum', 'Oyj', 'net', 'profit', 'decreased', '2.5', 'mln', 'euro', '4.0', 'mln', 'first', 'quarter', '2008', '3.0', 'mln', 'euro', '4.7', 'mln', 'period', '2007', '.Finnish', 'metal', 'products', 'company', 'Componenta', 'Oyj', 'net', 'profit', 'went', 'slightly', '25.1', 'mln', 'euro', '40.2', 'mln', 'first', 'half', '2008', '25.4', 'mln', 'euro', '40.7', 'mln', 'period', '2007', '.In', 'separate', 'announcement', 'Helsinki', 'stock', 'exchange', ',', 'Atria', 'revealed', 'company', 'third', 'quarter', 'profits', 'declined', 'EUR13', '.9', 'third', 'quarter', 'last', 'year', 'EUR12', '.7', 'year', 'Q3', '.In', 'fourth', 'quarter', '2008', ',', 'net', 'sales', 'decreased', 'EUR', '121.4', 'mn', 'EUR', '165.5', 'mn', 'fourth', 'quarter', '2007', '.Insurer', 'Axa', 'PAR', 'CS', 'slid', '5.35', 'EUR', '14.15', ',', 'Citigroup', 'ING', 'slashed', 'targets', 'stock', '.', 'ADP', 'News', 'Feb', '11', ',', '2009', 'Finnish', 'wood', 'products', 'technology', 'supplier', 'Raute', 'Oyj', 'HEL', 'RUTAV', 'said', 'today', 'net', 'profit', 'decreased', 'EUR', '4.7', 'million', 'USD', '6.1', '2008', 'EUR', '6.6', 'million', '2007', '.', 'ADP', 'News', 'Feb', '12', ',', '2009', 'Finnish', 'construction', 'company', 'Lemminkainen', 'Oyj', 'HEL', 'LEM1S', 'said', 'today', 'net', 'profit', 'decreased', 'EUR', '63.5', 'million', 'USD', '81.1', '2008', 'EUR', '80.6', 'million', '2007', '.', 'ADP', 'News', 'Feb', '4', ',', '2009', 'Finnish', 'broadband', 'data', 'communication', 'systems', 'solutions', 'company', 'Teleste', 'Oyj', 'HEL', 'TLT1V', 'said', 'today', 'net', 'profit', 'decreased', 'EUR', '5.5', 'million', 'USD', '7.2', '2008', 'EUR', '9.4', 'million', '200', 'ADP', 'News', 'Jan', '22', ',', '2009', 'Finnish', 'mobile', 'phones', 'maker', 'Nokia', 'Oyj', 'OMX', 'NOK1V', 'said', 'today', 'operating', 'profit', 'decreased', 'EUR', '5', 'billion', 'USD', '6.5', 'bn', '2008', 'EUR', '8', 'billion', '2007', '.', 'ADPnews', 'May', '4', ',', '2010', 'Finnish', 'cutlery', 'hand', 'tools', 'maker', 'Fiskars', 'Oyj', 'Abp', 'HEL', 'FISAS', 'said', 'today', 'net', 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'corresponding', 'period', '2005', '.Net', 'sales', 'fell', '33', 'third', 'quarter', '2008', 'EUR', '130.5', 'mn', '.Net', 'sales', 'fell', '5', 'previous', 'accounting', 'period', '.Net', 'sales', 'Kyro', 'main', 'business', 'area', ',', 'Glaston', 'Technologies', ',', 'manufacturer', 'glass', 'processing', 'machines', ',', 'decreased', 'EUR', '161.5', 'mn', 'EUR', '164.1', 'mn', 'January', 'September', '2005', '.Operating', 'profit', 'decreased', 'EUR', '16mn', 'EUR', '21.1', 'mn', '2008', '.Operating', 'profit', 'fell', 'EUR', '7.9', 'mn', 'second', 'quarter', '2005', 'EUR', '5.1', 'mn', 'second', 'quarter', '2006', '.Operating', 'profit', 'fell', 'EUR', '15.1', 'mn', 'EUR', '24.6', 'mn', '2006', '.Operating', 'profit', 'fell', 'EUR', '23.26', 'mn', 'EUR', '32.86', 'mn', '.Operating', 'profit', 'fell', 'EUR', '38.1', 'mn', 'EUR', '55.3', 'mn', '2007', '.Operating', 'profit', 'fell', 'EUR', '6.2', 'mn', 'EUR', '8.5', 'mn', 'third', 'quarter', '2007', '.Orion', 'net', 'profit', 'third', 'quarter', '2007', 'decreased', '36.5', 'mln', 'euro', '52.1', 'mln', '40.3', 'mln', 'euro', '57.5', 'mln', 'year', 'earlier', '.Pretax', 'profit', 'decreased', '37', 'EUR', '193.1', 'mn', 'EUR', '305.6', 'mn', '.Pretax', 'profit', 'decreased', 'EUR', '33.8', 'mn', 'EUR', '40.8', 'mn', 'fourth', 'quarter', '2005', '.Pretax', 'profit', 'totaled', 'EUR', '9.0', 'mn', ',', 'EUR', '36.3', 'mn', '2007', '.Prices', 'delivery', 'volumes', 'broadband', 'products', 'decreased', 'significantly', '2005', '.Profit', 'period', 'fell', 'EUR', '1.6', 'mn', 'EUR', '7.5', 'mn', 'January', 'September', '2008', '.Profit', 'period', 'totalled', 'EUR', '0.8', 'mn', ',', 'EUR', '1.1', 'mn', 'corresponding', 'period', '2008', '.Profit', 'period', 'totalled', 'EUR', '1.1', 'mn', ',', 'EUR', '1.6', 'mn', 'third', 'quarter', '2008', '.Revenue', 'quarter', 'fell', '8', 'percent', 'EURO', '2.4', 'billion', 'compared', 'year', 'earlier', '.SRV', 'lowered', 'net', 'sales', 'estimate', 'whole', '2008', 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'49.8', 'million', 'EUR', '59.9', 'million', '.The', 'sales', 'Tiimari', 'segment', 'fell', '4.0', 'year', 'year', 'EUR3', '.3', 'June', '2010', '.Finnish', 'electronics', 'contract', 'manufacturer', 'Scanfil', 'net', 'sales', 'EUR', '52.2', 'mn', 'first', 'quarter', '2007', ',', 'EUR', '60.1', 'mn', 'year', '.Alma', 'Media', 'operating', 'profit', 'amounted', 'EUR', '11.9', 'mn', ',', 'EUR', '15.0', 'mn', 'year', 'earlier', '.Commission', 'income', 'decreased', 'EUR', '3.8', 'mn', ',', 'compared', 'EUR', '4.6', 'mn', 'third', 'quarter', '2007', '.Commission', 'income', 'fell', 'EUR', '4.6', 'mn', 'EUR', '5.1', 'mn', 'corresponding', 'period', '2007', '.Export', 'declined', '6', 'percent', '16.4', 'million', 'liters', '.Exports', 'goods', 'fell', '59', ',', 'imports', '16.7', '.Finnish', 'developer', 'manufacturer', 'mobile', 'phone', 'chargers', 'Salcomp', 'Plc', 'OMX', 'Helsinki', 'SAL1V', 'Wednesday', '19', 'November', 'lowered', 'full', 'year', 'net', 'sales', 'estimate', 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'screen', 'models', '.Operating', 'profit', 'decreased', 'EUR', '11.2', 'mn', 'EUR', '16.6', 'mn', '.Operating', 'profit', 'decreased', 'nearly', 'EUR', '1.7', 'mn', ',', 'however', '.Operating', 'profit', 'fell', 'EUR', '20.3', 'mn', 'EUR', '74.2', 'mn', 'second', 'quarter', '2008', '.Operating', 'profit', 'fourth', 'quarter', 'fell', 'EUR33m', 'EUR39m', 'year', 'earlier', '.Operating', 'profit', 'totaled', 'EUR', '3.8', 'mn', ',', 'EUR', '4.5', 'mn', 'corresponding', 'period', '2005', '.Operating', 'profit', 'totaled', 'EUR', '6.7', 'mn', ',', 'EUR', '7.2', 'mn', 'corresponding', 'period', '2005', '.Operating', 'profit', 'totaled', 'EUR', '9.4', 'mn', ',', 'EUR', '11.7', 'mn', '2004', '.Operating', 'profit', 'totalled', 'EUR', '1.22', 'mn', ',', 'EUR', '3.56', 'mn', 'first', 'quarter', '2008', '.Operating', 'profit', 'totalled', 'EUR', '30.2', 'mn', ',', 'EUR', '43.8', 'mn', 'year', 'earlier', '.Operating', 'profit', 'totalled', 'EUR', '9.0', 'mn', ',', 'EUR', '9.7', 'mn', 'first', 'half', '2008', '.Operating', 'profit', 'totalled', 'EUR', '9.6', 'mn', ',', 'EUR', '42.0', 'mn', 'year', '.Operating', 'profit', 'EUR', '0.1', 'mn', ',', 'EUR', '1.3', 'mn', '.Profit', 'period', 'EUR', '10.9', 'mn', ',', 'EUR', '14.3', 'mn', '2009', '.Revenue', 'slightly', ',', 'x20ac', '495', 'million', '634', 'million', ',', 'compared', 'x20ac', '497', 'million', 'year', 'earlier', '.Sales', 'Tiimari', 'business', 'went', '8', 'EUR', '11.8', 'million', ',', 'Gallerix', 'stores', 'saw', '29', 'growth', 'EUR', '2', 'million', '.Sales', 'Seppala', 'diminished', '6', 'cent', '.Talentum', 'net', 'sales', 'September', 'smaller', 'expected', '.The', 'company', 'previous', 'estimate', 'lower', 'revenue', 'year', 'ago', 'EUR', '93.9', 'million', '.The', 'company', 'profit', 'totaled', 'Ls', '578,100', 'H1', '2007', ',', '30.9', 'year', 'year', '.The', 'company', 'said', 'sales', 'three', 'months', 'March', 'slid', 'EUR86', '.4', 'US', '113.4', 'EUR91', '.2', 'last', 'year', '.The', 'operating', 'margin', 'came', '2.4', '5.7', '.The', 'operating', 'margin', 'Aker', 'Yards', 'Cruise', '&', 'Ferries', 'division', 'went', '8.3', '6.4', 'first', 'quarter', '2007', '.The', 'terms', 'aforementioned', 'funding', 'considerably', 'Bank', 'current', 'CDS', 'levels', 'market', 'maturity', 'ranging', '1', '7.5', 'years', '.The', 'total', 'capital', 'funds', 'managed', 'bank', 'decreased', '28', 'EUR', '284mn', 'September', '2008', '.UPM', 'stock', 'fell', '3', 'percent', 'EURO', '12.49', '17.24', 'early', 'afternoon', 'trading', 'Helsinki', '.YIT', 'Baltic', 'sales', 'first', 'three', 'quarters', '2008', 'totaled', '106.2', 'million', 'euros', ',', 'representing', 'drop', '29', 'percent', 'year', 'year', '.According', 'company', ',', 'operating', 'profit', ',', 'excluding', 'recurring', 'items', ',', 'fourth', 'quarter', '2009', 'significantly', 'better', 'expected', ',', 'better', 'figures', 'fourth', 'quarter', '2008', '.', '``', 'I', 'extremely', 'delighted', 'project', 'continuation', 'cooperation', 'Viking', 'Line', '.The', 'apartment', 'block', 'well', 'located', ',', 'easy', 'reach', 'city', 'center', 'close', 'school', 'kindergarten', '.The', 'share', 'issue', ',', 'derogating', 'pre', 'emptive', 'right', 'shareholders', 'comprising', 'six', 'million', 'new', 'shares', 'market', 'price', ',', 'offered', 'subscription', 'shareholders', ',', 'holders', 'capital', 'notes', 'professional', 'clients', '.', '``', 'EB', 'Tough', 'VoIP', 'designed', 'fulfill', 'communications', 'needs', 'military', 'units', ',', 'continue', 'strive', 'towards', 'achieving', 'goal', ',', 'Mikko', 'Viitaniemi', ',', 'EB', 'Elektrobit', 'Defense', 'Products', ',', 'Wireless', 'Solutions', 'senior', 'manager', ',', 'said', 'statement', '.', '``', 'Low', 'energy', 'consumption', 'flexible', 'loading', 'advantages', 'CHF', 'Pro', '.', 'The', 'antibody', ',', 'administered', 'repeated', 'doses', '8', 'mg', 'kg', ',', 'generally', 'well', 'tolerated', ',', 'pharmacokinetic', 'characteristics', 'BTT', '1023', 'psoriasis', 'patients', 'consistent', 'observed', 'previously', 'completed', 'study', 'rheumatoid', 'arthritis', 'RA', 'patients', '.The', 'antibody', ',', 'given', 'repeated', 'doses', '8', 'mg', 'kg', ',', 'generally', 'well', 'tolerated', ',', 'pharmacokinetic', 'characteristics', 'BTT', '1023', 'psoriasis', 'patients', 'consistent', 'observed', 'previously', 'completed', 'study', 'rheumatoid', 'arthritis', 'RA', 'patients', '.ADPnews', 'Sep', '28', ',', '2009', 'Finnish', 'silicon', 'wafers', 'maker', 'Okmetic', 'Oyj', 'HEL', 'OKM1V', 'said', 'reduce', 'number', 'clerical', 'workers', '22', 'worldwide', 'result', 'personnel', 'negotiations', 'completed', 'today', '.', 'Demand', 'fireplace', 'products', 'lower', 'expected', ',', 'especially', 'Germany', '.Currently', ',', 'company', 'foresees', 'pre', 'tax', 'profit', 'remain', '2009', 'level', 'reached', 'EUR', '700,000', 'USD', '934,000', ',', 'compared', 'previous', 'projections', 'slightly', 'better', 'pre', 'tax', 'profit', '.However', ',', 'orders', 'received', 'period', 'review', 'fell', '17', 'quarter', 'quarter', 'EUR', '213', 'million', 'recorded', 'second', 'quarter', '2010', '.The', 'announcement', 'pushed', 'Freenet', 'shares', '6.3', ',', 'EUR0', '.71', ',', 'Frankfurt', 'trade', 'EUR10', '.65', 'investors', 'gave', 'hope', 'United', 'Internet', 'AG', 'Drillisch', 'would', 'pursue', 'takeover', 'breakup', 'Freenet', '.Danske', 'Bank', 'A', 'S', 'DANSKE', 'DC', 'jumped', '3.7', 'percent', '133.4', 'kroner', ',', 'rebounding', 'yesterday', '3.5', 'percent', 'slide', '.Our', 'superior', 'customer', 'centricity', 'expertise', 'digital', 'services', 'set', 'us', 'apart', 'competitors', '.According', 'company', ',', 'addition', 'normal', 'seasonal', 'fluctuation', 'market', 'situation', 'weakened', 'autumn', '2008', '.Changes', 'market', 'situation', 'tougher', 'price', 'competition', 'substantially', 'reduced', 'demand', 'bread', 'packaging', 'manufactured', 'Kauhava', 'plant', ',', 'according', 'company', '.In', 'building', 'home', 'improvement', 'trade', ',', 'sales', 'decreased', '6.3', ',', 'totalling', 'EUR', '154.1', 'mn', '.In', 'building', 'home', 'improvement', 'trade', ',', 'net', 'sales', 'totalled', 'EUR', '1,173', 'mn', ',', 'EUR', '1,566', 'mn', 'year', 'earlier', '.In', 'building', 'home', 'improvement', 'trade', ',', 'sales', 'decreased', '22.5', 'EUR', '201.4', 'mn', '.Finnish', 'Suominen', 'Corporation', 'makes', 'wipes', ',', 'nonwovens', ',', 'flexible', 'packaging', ',', 'expects', 'changes', 'market', 'situation', 'reduce', 'sales', 'Suominen', 'nonwovens', 'wet', 'wipes', 'previously', 'estimated', 'volumes', '.The', 'hull', 'vessel', 'built', 'block', 'time', 'Ruukki', 'delivered', 'plate', 'material', 'block', 'construction', 'progressed', '.The', 'net', 'sales', 'whole', 'fiscal', 'year', '2008', 'lower', '2007', 'operating', 'profit', 'estimated', 'negative', '.Sales', 'unit', 'slumped', 'last', 'year', 'industry', 'hit', 'poor', 'snowfall', 'major', 'resorts', 'winter', '2006', '07', '.The', 'steelmaker', 'said', 'drop', 'profit', 'explained', 'continuing', 'economic', 'uncertainty', ',', 'mixed', 'current', 'drought', 'bank', 'lending', ',', 'resulting', 'decline', 'demand', 'products', 'customers', 'find', 'increasingly', 'difficult', 'fund', 'operations', '.Nokia', 'share', 'price', 'fell', 'less', 'percent', '18.70', 'euros', '25.41', 'Helsinki', ',', 'Siemens', 'shares', 'fell', '1.02', 'percent', '90.19', 'euros', '122.57', 'Frankfurt', '.In', 'February', 'Elcoteq', 'group', 'sold', 'St', 'Petersburg', 'facility', ';', 'according', 'unconfirmed', 'information', 'reason', 'could', 'supply', 'problems', 'Russian', 'customs', 'service', '.', '``', 'Operating', 'profit', 'declined', 'mainly', 'due', 'increased', 'cost', 'wood', 'recycled', 'fiber', 'strengthened', 'euro', '.', 'Operating', 'profit', 'fourth', 'quarter', 'went', 'EUR3m', 'EUR4', '.2', 'corresponding', 'period', '2009', 'included', 'costs', 'growth', 'projects', '.The', 'manager', 'critical', 'politicians', 'failure', 'differentiate', 'beleaguered', 'European', 'financial', 'institutions', 'Skandinavian', 'banks', ',', '``', 'sailed', 'crisis', 'without', 'issues', '.UPM', 'Kymmene', 'Corp.', ',', 'world', 'largest', 'maker', 'magazine', 'paper', ',', 'Tuesday', 'reported', '19', 'percent', 'profit', 'drop', 'lower', 'paper', 'prices', ',', 'higher', 'costs', 'strong', 'euro', 'hurt', 'revenue', '.In', 'Finland', ',', 'launch', 'tie', 'sales', '3G', 'mobile', 'phones', 'cause', 'dramatic', 'rush', 'mobile', 'retail', 'outlets', 'first', 'days', '.', '``', 'I', 'sure', 'happening', '.As', ',', 'space', 'blond', 'wood', 'floors', 'unlike', 'rest', 'store', 'notably', 'Scandinavian', 'vibe', '.The', 'winner', 'present', 'win', '.Bosse', 'added', 'Trygvesta', 'financial', 'strength', 'acquire', 'entire', 'unit', '.Pentik', 'Æinen', 'emphasises', 'internet', 'contents', 'media', 'houses', 'provide', 'free', 'forever', '.Finnish', 'meat', 'company', 'Atria', 'longer', 'promise', 'sufficient', 'amount', 'domestic', 'beef', 'customers', '.Thanks', 'internet', ',', 'consumers', 'compare', 'products', 'previously', 'Finnish', 'companies', 'competitive', '.Because', 'expenditures', 'must', 'justified', 'pass', 'budget', 'approval', 'hurdles', ',', 'believe', 'RoP', 'model', 'help', 'make', 'easier', 'IT', 'IT', 'security', 'practitioners', 'make', 'business', 'case', 'acquiring', 'enabling', 'security', 'technologies', 'related', 'control', 'activities', '.', '``', 'Capital', 'expenditure', 'energy', 'efficiency', 'unfortunately', 'fallen', 'along', 'decline', 'economy', '.Due', 'rapid', 'decrease', 'net', 'sales', ',', 'personnel', 'reductions', 'carried', 'wider', 'scale', 'initially', 'expected', '.Operating', 'profit', 'excluding', 'recurring', 'items', 'decreased', 'EUR', '6.2', 'mn', 'EUR', '16.8', 'mn', '2007', ',', 'representing', '2.3', 'net', 'sales', '.Finnish', 'waste', 'management', 'cleaning', 'group', 'Lassila', '&', 'Tikanoja', 'Oyj', 'L', '&', 'T', 'net', 'profit', 'went', '32.2', 'mln', 'euro', '47.7', 'mln', '2007', '35.3', 'mln', 'euro', '52.3', 'mln', '2006', '.Qualcomm', 'estimated', 'first', 'quarter', 'profit', '46', '50', 'cents', 'share', ',', 'excluding', 'certain', 'items', ',', 'analyst', 'estimate', '61', 'cents', 'share', '.Finnish', 'Swedish', 'Stora', 'Enso', 'understand', 'decision', 'issued', 'federal', 'judge', 'Brazil', 'concerning', 'Stora', 'Enso', 'associated', 'pulp', 'company', 'Veracel', '.Nevertheless', ',', 'development', 'allowed', 'ruin', 'print', 'newspaper', ',', 'continues', 'Sanoma', 'News', 'main', 'medium', '.Besides', ',', 'depositor', 'preference', 'Finland', ',', 'senior', 'debt', 'deposits', 'rank', ',', 'taken', 'consideration', ',', 'agency', 'added', '.Operating', 'margin', ',', 'however', ',', 'slipped', '14.4', '15.1', ',', 'dragged', 'poor', 'performance', 'enterprise', 'solutions', '.The', '2015', 'target', 'net', 'sales', 'set', 'EUR', '1bn', 'target', 'return', 'investment', '20', '.It', 'holds', '38', 'percent', 'Outokumpu', 'shares', 'voting', 'rights', ',', '2001', 'lawmakers', 'gave', 'permission', 'reduce', 'stake', '10', 'percent', '.As', 'result', 'transactions', ',', 'aggregate', 'holdings', 'Burrill', 'Life', 'Sciences', 'Capital', 'Fund', ',', 'L.P.', 'decreased', '5', 'cent', 'total', 'number', 'shares', 'votes', 'Company', '.have', 'notified', 'result', 'Company', 'issuing', '14,432,000', 'new', 'shares', 'directed', 'offering', ',', 'joint', 'holdings', 'Pequot', 'decreased', '1', '10', '9.63', 'total', 'number', 'shares', 'votes', 'Company', '.Mobile', 'communication', 'wireless', 'broadband', 'provider', 'Nokia', 'Inc', 'NYSE', 'NOK', 'today', 'set', 'new', 'financial', 'targets', 'forecasts', 'Nokia', 'mobile', 'device', 'industry', 'Nokia', 'Siemens', 'Networks', 'mobile', 'fixed', 'infrastructure', 'related', 'services', 'market', '.External', 'net', 'sales', 'printing', 'business', 'fell', '43.7', ',', 'partly', 'due', 'termination', 'printing', 'contract', 'Ilkka', 'Yhtyma', 'printing', 'house', 'I', 'print', 'Oy', 'sector', 'player', 'HSS', 'Media', 'AB', 'December', '2009', 'fall', 'printing', 'prices', '.Seven', 'month', 'sales', 'Ragutis', ',', 'controlled', 'Finnish', 'brewery', 'Olvi', ',', 'declined', '11.2', 'percent', ',', '15.41', 'million', 'liters', ',', 'company', 'held', '9.89', 'percent', 'market', '.The', 'OMX', 'Helsinki', 'index', '0.33', 'pct', 'lower', '9,364.80', ',', 'OMX', 'Helsinki', 'CAP', 'portfolio', 'index', '0.34', 'pct', '5,029.25', '.The', 'OMX', 'Helsinki', 'index', '0.34', 'pct', '8,256.02', 'turnover', '813.191', 'mln', 'eur', '.Repeats', 'sees', '2008', 'operating', 'profit', 'Reporting', 'Helsinki', 'Newsroom', 'Keywords', 'TECNOMEN', 'RESULTSComparable', 'operating', 'profit', 'totaled', 'EUR', '4.7', 'mn', ',', 'EUR', '5.1', 'mn', 'corresponding', 'period', '2005', ',', 'representing', '7.4', 'net', 'sales', '.In', 'Finland', 'Hobby', 'Hall', 'sales', 'decreased', '10', ',', 'international', 'sales', 'fell', '19', '.Hobby', 'Hall', 'sales', 'decrease', '26', 'pct', 'due', 'implementing', 'new', 'information', 'system', 'involved', 'changing', 'principal', 'posting', 'sales', '.In', 'Baltic', 'states', 'company', 'reports', 'net', 'sales', 'EUR', '11.9', 'mn', ',', 'EUR', '14.2', 'mn', ',', 'operative', 'EBIT', 'EUR', '2.2', 'mn', ',', 'EUR', '1.7', 'mn', '.Operating', 'profits', 'half', '0.8', ',', '0.9', 'Glisten', 'invested', 'brand', 'management', 'team', '.Sales', 'Finland', 'decreased', '2.0', ',', 'international', 'sales', 'decreased', '9.3', 'terms', 'euros', ',', '15.1', 'terms', 'local', 'currencies', '.The', 'company', 'said', 'comparable', 'operating', 'profit', 'January', 'June', 'period', 'fell', 'short', 'last', 'year', 'corresponding', 'performance', '.Operating', 'result', '12', 'month', 'period', 'decreased', 'profit', 'EUR0', '.4', 'turnover', 'decreased', 'EUR5', '.6', ',', 'compared', '2004', '.HELSINKI', 'Thomson', 'Financial', 'Shares', 'Cargotec', 'fell', 'sharply', 'early', 'afternoon', 'trade', 'cargo', 'handling', 'group', 'posted', 'surprise', 'drop', 'April', 'June', 'profits', ',', 'overshadowed', 'large', 'number', 'new', 'orders', 'received', 'three', 'months', '.LONDON', 'MarketWatch', 'Share', 'prices', 'ended', 'lower', 'London', 'Monday', 'rebound', 'bank', 'stocks', 'failed', 'offset', 'broader', 'weakness', 'FTSE', '100', '.Rinkuskiai', 'beer', 'sales', 'fell', '6.5', 'cent', '4.16', 'million', 'litres', ',', 'Kauno', 'Alus', 'beer', 'sales', 'jumped', '6.9', 'cent', '2.48', 'million', 'litres', '.Operating', 'profit', 'fell', 'EUR', '35.4', 'mn', 'EUR', '68.8', 'mn', '2007', ',', 'including', 'vessel', 'sales', 'gain', 'EUR', '12.3', 'mn', '.Net', 'sales', 'Paper', 'segment', 'decreased', 'EUR', '221.6', 'mn', 'second', 'quarter', '2009', 'EUR', '241.1', 'mn', 'second', 'quarter', '2008', ',', 'operating', 'profit', 'excluding', 'recurring', 'items', 'rose', 'EUR', '8.0', 'mn', 'EUR', '7.6', 'mn', '.Sales', 'Finland', 'decreased', '10.5', 'January', ',', 'sales', 'outside', 'Finland', 'dropped', '17', '.']\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UZv_WnskYmM2",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "dc87ddbd-1196-4ef7-98dc-5bb7a831cda4"
      },
      "source": [
        "def print_message(index):\n",
        "    example = df[df.index == index][['Message', 'sentiment']].values[0]\n",
        "    if len(example) > 0:\n",
        "        print(example[0])\n",
        "        print('Message:', example[1])\n",
        "print_message(12)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Finnish Talentum reports its operating profit increased to EUR 20.5 mn in 2005 from EUR 9.3 mn in 2004 , and net sales totaled EUR 103.3 mn , up from EUR 96.4 mn .\n",
            "Message: positive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "o2ZMwyqgBNS_",
        "outputId": "ef56001d-d141-4311-920e-f10703343d77"
      },
      "source": [
        "print_message(0)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Technopolis plans to develop in stages an area of no less than 100,000 square meters in order to host companies working in computer technologies and telecommunications , the statement said .\n",
            "Message: neutral\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hHgr12c5BV1v"
      },
      "source": [
        "from bs4 import BeautifulSoup\n",
        "def cleanText(text):\n",
        "    text = BeautifulSoup(text, \"lxml\").text\n",
        "    text = re.sub(r'\\|\\|\\|', r' ', text) \n",
        "    text = re.sub(r'http\\S+', r'<URL>', text)\n",
        "    text = text.lower()\n",
        "    text = text.replace('x', '')\n",
        "    return text\n",
        "df['Message'] = df['Message'].apply(cleanText)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wAsR07qmBclV",
        "outputId": "8d45c119-8bc9-4210-a723-091f0f07e46f"
      },
      "source": [
        "from gensim.models.doc2vec import TaggedDocument\n",
        "from keras.preprocessing.text import Tokenizer\n",
        "from keras.preprocessing.sequence import pad_sequences\n",
        "\n",
        "df['Message'] = df['Message'].apply(cleanText)\n",
        "train, test = train_test_split(df, test_size=0.000001 , random_state=42)\n",
        "import nltk\n",
        "from nltk.corpus import stopwords\n",
        "def tokenize_text(text):\n",
        "    tokens = []\n",
        "    for sent in nltk.sent_tokenize(text):\n",
        "        for word in nltk.word_tokenize(sent):\n",
        "            #if len(word) < 0:\n",
        "            if len(word) <= 0:\n",
        "                continue\n",
        "            tokens.append(word.lower())\n",
        "    return tokens\n",
        "train_tagged = train.apply(\n",
        "    lambda r: TaggedDocument(words=tokenize_text(r['Message']), tags=[r.sentiment]), axis=1)\n",
        "test_tagged = test.apply(\n",
        "    lambda r: TaggedDocument(words=tokenize_text(r['Message']), tags=[r.sentiment]), axis=1)\n",
        "\n",
        "# Kiek daugiausiai panaudoti žodžių (word frequency)\n",
        "max_fatures = 500000\n",
        "\n",
        "# Max number of words in each complaint.\n",
        "MAX_SEQUENCE_LENGTH = 50\n",
        "\n",
        "tokenizer = Tokenizer(num_words=max_fatures, split=' ', filters='!\"#$%&()*+,-./:;<=>?@[\\]^_`{|}~', lower=True)\n",
        "tokenizer.fit_on_texts(df['Message'].values)\n",
        "X = tokenizer.texts_to_sequences(df['Message'].values)\n",
        "X = pad_sequences(X)\n",
        "print('Found %s unique tokens.' % len(X))\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Found 4845 unique tokens.\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "TnXxkNUtBkLe",
        "outputId": "b92efac0-6ce4-4fc9-ce06-d4833cd0db61"
      },
      "source": [
        "X = tokenizer.texts_to_sequences(df['Message'].values)\n",
        "X = pad_sequences(X, maxlen=MAX_SEQUENCE_LENGTH)\n",
        "print('Shape of data tensor:', X.shape)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Shape of data tensor: (4845, 50)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "vq0ob2m0Co_L",
        "outputId": "23831b19-577c-44d6-e992-e2df98c9a65c"
      },
      "source": [
        "train_tagged.values"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([TaggedDocument(words=['upm-kymmene', 'has', 'generated', 'four', 'consecutive', 'quarters', 'of', 'positive', 'free', 'cash', 'flow', '.'], tags=['positive']),\n",
              "       TaggedDocument(words=['in', 'the', 'method', 'the', 'smelt', 'spouts', '2', 'are', 'separated', 'from', 'the', 'working', 'area', '6', 'by', 'a', 'shielding', 'wall', '8', ',', '10', 'arranged', 'movable', 'in', 'relation', 'to', 'the', 'smelt', 'spouts', '.'], tags=['neutral']),\n",
              "       TaggedDocument(words=['``', 'that', \"'s\", 'a', 'very', 'high', 'figure', 'on', 'the', 'european', 'scale', ',', \"''\", 'noop', 'said', ',', 'recalling', 'however', 'that', 'this', 'also', 'includes', 'beer', 'bought', 'by', 'finnish', 'tourists', '.'], tags=['neutral']),\n",
              "       ...,\n",
              "       TaggedDocument(words=['proha', 'plc', '(', 'euronet', ':7327', ')', 'announced', 'today', '(', '19', 'may', ')', 'that', 'its', 'fully-owned', 'subsidiary', ',', 'safran', 'software', 'solutions', 'as', ',', 'has', 'agreed', 'to', 'sell', 'its', '49', '%', 'share', 'of', 'safran', 'north', 'america', 'llc', 'to', 'a', 'sna', 'holding', 'as', ',', 'an', 'investment', 'group', 'based', 'in', 'norway', '.'], tags=['neutral']),\n",
              "       TaggedDocument(words=['the', 'building', 'will', 'house', 'product', 'development', 'and', 'test', 'laboratories', '.'], tags=['neutral']),\n",
              "       TaggedDocument(words=['(', 'adp', 'news', ')', '-', 'oct', '31', ',', '2008', '-', 'finnish', 'food', 'company', 'raisio', 'oyj', '(', 'om', ':', 'raivv', ')', 'said', 'today', 'that', 'its', 'net', 'profit', 'jumped', 'to', 'eur', '16.4', 'million', '(', 'usd', '20.9', 'm', ')', 'for', 'the', 'first', 'nine', 'months', 'of', '2008', 'from', 'eur', '1.1', 'million', 'for', 'the', 'same', 'period', 'of', '2'], tags=['positive'])],\n",
              "      dtype=object)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "f2Os_B6DCrxk",
        "outputId": "9152fb8d-0e47-4efd-ac13-3c046bcde7a3"
      },
      "source": [
        "from gensim.models import Doc2Vec\n",
        "d2v_model = Doc2Vec(dm=1, dm_mean=1, size=20, window=8, min_count=1, workers=1, alpha=0.065, min_alpha=0.065)\n",
        "d2v_model.build_vocab([x for x in tqdm(train_tagged.values)])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/gensim/models/doc2vec.py:570: UserWarning: The parameter `size` is deprecated, will be removed in 4.0.0, use `vector_size` instead.\n",
            "  warnings.warn(\"The parameter `size` is deprecated, will be removed in 4.0.0, use `vector_size` instead.\")\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1225700.32it/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "_iLGa0WyCw9Q",
        "outputId": "5ae9e62b-b614-4276-ef07-fceb99ffada2"
      },
      "source": [
        "for epoch in range(30):\n",
        "    d2v_model.train(utils.shuffle([x for x in tqdm(train_tagged.values)]), total_examples=len(train_tagged.values), epochs=1)\n",
        "    d2v_model.alpha -= 0.002\n",
        "    d2v_model.min_alpha = d2v_model.alpha"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "100%|██████████| 4844/4844 [00:00<00:00, 613590.50it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1073904.99it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 943976.61it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 991035.00it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 2511087.45it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 2185821.26it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1181920.22it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 2073396.12it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1434527.19it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 2074454.62it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1135991.53it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 970629.11it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1170009.13it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1219081.28it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 2177388.12it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 2432615.97it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 2437285.10it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1398101.33it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1707471.94it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1969294.23it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1545975.39it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 2601435.16it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1113882.05it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1088635.73it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1174337.24it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1603694.73it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 2390541.07it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 1316051.86it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 2402981.50it/s]\n",
            "100%|██████████| 4844/4844 [00:00<00:00, 2069805.27it/s]\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "cvw96DImDhv8",
        "outputId": "e5c9997f-fb2d-4863-922b-ff1c96463f7d"
      },
      "source": [
        "embedding_matrix = np.zeros((len(d2v_model.wv.vocab)+ 1, 20))\n",
        "\n",
        "for i, vec in enumerate(d2v_model.docvecs.vectors_docs):\n",
        "    while i in vec <= 1000:\n",
        "      embedding_matrix[i]=vec\n",
        "print(i,'\\n')\n",
        "print(d2v_model.docvecs,'\\n')\n",
        "print(vec,'\\n')\n",
        "print(vec[i],'\\n')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "2 \n",
            "\n",
            "<gensim.models.keyedvectors.Doc2VecKeyedVectors object at 0x7f4e5683e590> \n",
            "\n",
            "[ 9.607894  -8.425242  -5.0169845  4.978365   1.9709504  4.0184913\n",
            " -2.4979742  1.2483953 -9.149105  -2.0243392 -5.4110336  4.01459\n",
            "  3.0528674 -1.8230671  5.9525123  3.0736132 -4.05618   -2.8693762\n",
            "  4.6221576 -3.8178573] \n",
            "\n",
            "-5.0169845 \n",
            "\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RrIjSGF0Pmpl",
        "outputId": "d20e697f-f93d-4e39-c60f-d7e3b2b345cf"
      },
      "source": [
        "d2v_model.wv.most_similar(positive=['profit'], topn=10)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[('loss', 0.9151036739349365),\n",
              " ('pcmag.com', 0.7209856510162354),\n",
              " ('income', 0.6907371282577515),\n",
              " ('trojan', 0.6869930028915405),\n",
              " ('93.6', 0.6809810400009155),\n",
              " ('break-even', 0.6749609112739563),\n",
              " ('aspokem', 0.6745055913925171),\n",
              " ('julia', 0.6722809672355652),\n",
              " ('stonesoft', 0.666182816028595),\n",
              " ('dealers', 0.6600483059883118)]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0LYirgXzQWyD",
        "outputId": "ce03b998-45f0-4e87-a9c1-21f7a1530ddf"
      },
      "source": [
        "from keras.models import Sequential\n",
        "from keras.layers import LSTM, Dense, Embedding\n",
        "\n",
        "# init layer\n",
        "model = Sequential()\n",
        "\n",
        "# emmbed word vectors\n",
        "model.add(Embedding(len(d2v_model.wv.vocab)+1,20,input_length=X.shape[1],weights=[embedding_matrix],trainable=True))\n",
        "\n",
        "# learn the correlations\n",
        "def split_input(sequence):\n",
        "     return sequence[:-1], tf.reshape(sequence[1:], (-1,1))\n",
        "model.add(LSTM(50,return_sequences=False))\n",
        "model.add(Dense(3,activation=\"softmax\"))\n",
        "\n",
        "# output model skeleton\n",
        "model.summary()\n",
        "model.compile(optimizer=\"adam\",loss=\"binary_crossentropy\",metrics=['acc'])"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Model: \"sequential\"\n",
            "_________________________________________________________________\n",
            "Layer (type)                 Output Shape              Param #   \n",
            "=================================================================\n",
            "embedding (Embedding)        (None, 50, 20)            233680    \n",
            "_________________________________________________________________\n",
            "lstm (LSTM)                  (None, 50)                14200     \n",
            "_________________________________________________________________\n",
            "dense (Dense)                (None, 3)                 153       \n",
            "=================================================================\n",
            "Total params: 248,033\n",
            "Trainable params: 248,033\n",
            "Non-trainable params: 0\n",
            "_________________________________________________________________\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 369
        },
        "id": "nPzQJ-5aQjHQ",
        "outputId": "173b6d84-b2c3-4a82-e411-de262b7ee2ef"
      },
      "source": [
        "from keras.utils import plot_model\n",
        "plot_model(model, to_file='model.png')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<IPython.core.display.Image object>"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 23
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bi2iBGmfQnLx",
        "outputId": "c5f478b1-07c8-4389-b1f3-8f1709534ac5"
      },
      "source": [
        "Y = pd.get_dummies(df['sentiment']).values\n",
        "X_train, X_test, Y_train, Y_test = train_test_split(X,Y, test_size = 0.15, random_state = 42)\n",
        "print(X_train.shape,Y_train.shape)\n",
        "print(X_test.shape,Y_test.shape)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "(4118, 50) (4118, 3)\n",
            "(727, 50) (727, 3)\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GGTa0TeUQqSh",
        "outputId": "57e05156-f01e-402f-c8fc-726ce508535d"
      },
      "source": [
        "batch_size = 32\n",
        "history=model.fit(X_train, Y_train, epochs =50, batch_size=batch_size, verbose = 2)"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "Epoch 1/50\n",
            "129/129 - 5s - loss: 0.5431 - acc: 0.6039\n",
            "Epoch 2/50\n",
            "129/129 - 3s - loss: 0.3988 - acc: 0.7173\n",
            "Epoch 3/50\n",
            "129/129 - 3s - loss: 0.2878 - acc: 0.8035\n",
            "Epoch 4/50\n",
            "129/129 - 3s - loss: 0.2168 - acc: 0.8431\n",
            "Epoch 5/50\n",
            "129/129 - 3s - loss: 0.1462 - acc: 0.9201\n",
            "Epoch 6/50\n",
            "129/129 - 3s - loss: 0.0846 - acc: 0.9616\n",
            "Epoch 7/50\n",
            "129/129 - 3s - loss: 0.0582 - acc: 0.9760\n",
            "Epoch 8/50\n",
            "129/129 - 3s - loss: 0.0501 - acc: 0.9794\n",
            "Epoch 9/50\n",
            "129/129 - 3s - loss: 0.0287 - acc: 0.9893\n",
            "Epoch 10/50\n",
            "129/129 - 3s - loss: 0.0371 - acc: 0.9849\n",
            "Epoch 11/50\n",
            "129/129 - 3s - loss: 0.0296 - acc: 0.9864\n",
            "Epoch 12/50\n",
            "129/129 - 3s - loss: 0.0198 - acc: 0.9927\n",
            "Epoch 13/50\n",
            "129/129 - 3s - loss: 0.0175 - acc: 0.9942\n",
            "Epoch 14/50\n",
            "129/129 - 3s - loss: 0.0165 - acc: 0.9947\n",
            "Epoch 15/50\n",
            "129/129 - 3s - loss: 0.0128 - acc: 0.9959\n",
            "Epoch 16/50\n",
            "129/129 - 3s - loss: 0.0185 - acc: 0.9925\n",
            "Epoch 17/50\n",
            "129/129 - 3s - loss: 0.0163 - acc: 0.9934\n",
            "Epoch 18/50\n",
            "129/129 - 3s - loss: 0.0141 - acc: 0.9942\n",
            "Epoch 19/50\n",
            "129/129 - 3s - loss: 0.0112 - acc: 0.9959\n",
            "Epoch 20/50\n",
            "129/129 - 3s - loss: 0.0114 - acc: 0.9951\n",
            "Epoch 21/50\n",
            "129/129 - 3s - loss: 0.0082 - acc: 0.9976\n",
            "Epoch 22/50\n",
            "129/129 - 3s - loss: 0.0069 - acc: 0.9978\n",
            "Epoch 23/50\n",
            "129/129 - 3s - loss: 0.0068 - acc: 0.9976\n",
            "Epoch 24/50\n",
            "129/129 - 3s - loss: 0.0102 - acc: 0.9961\n",
            "Epoch 25/50\n",
            "129/129 - 3s - loss: 0.0150 - acc: 0.9934\n",
            "Epoch 26/50\n",
            "129/129 - 3s - loss: 0.0083 - acc: 0.9973\n",
            "Epoch 27/50\n",
            "129/129 - 3s - loss: 0.0066 - acc: 0.9968\n",
            "Epoch 28/50\n",
            "129/129 - 3s - loss: 0.0107 - acc: 0.9956\n",
            "Epoch 29/50\n",
            "129/129 - 3s - loss: 0.0065 - acc: 0.9968\n",
            "Epoch 30/50\n",
            "129/129 - 3s - loss: 0.0106 - acc: 0.9956\n",
            "Epoch 31/50\n",
            "129/129 - 3s - loss: 0.0090 - acc: 0.9961\n",
            "Epoch 32/50\n",
            "129/129 - 3s - loss: 0.0119 - acc: 0.9959\n",
            "Epoch 33/50\n",
            "129/129 - 3s - loss: 0.0064 - acc: 0.9971\n",
            "Epoch 34/50\n",
            "129/129 - 3s - loss: 0.0071 - acc: 0.9971\n",
            "Epoch 35/50\n",
            "129/129 - 3s - loss: 0.0050 - acc: 0.9978\n",
            "Epoch 36/50\n",
            "129/129 - 3s - loss: 0.0037 - acc: 0.9983\n",
            "Epoch 37/50\n",
            "129/129 - 3s - loss: 0.0035 - acc: 0.9981\n",
            "Epoch 38/50\n",
            "129/129 - 3s - loss: 0.0036 - acc: 0.9988\n",
            "Epoch 39/50\n",
            "129/129 - 3s - loss: 0.0082 - acc: 0.9968\n",
            "Epoch 40/50\n",
            "129/129 - 3s - loss: 0.0118 - acc: 0.9956\n",
            "Epoch 41/50\n",
            "129/129 - 3s - loss: 0.0080 - acc: 0.9961\n",
            "Epoch 42/50\n",
            "129/129 - 3s - loss: 0.0049 - acc: 0.9973\n",
            "Epoch 43/50\n",
            "129/129 - 4s - loss: 0.0031 - acc: 0.9983\n",
            "Epoch 44/50\n",
            "129/129 - 4s - loss: 0.0022 - acc: 0.9988\n",
            "Epoch 45/50\n",
            "129/129 - 4s - loss: 0.0024 - acc: 0.9988\n",
            "Epoch 46/50\n",
            "129/129 - 3s - loss: 0.0026 - acc: 0.9988\n",
            "Epoch 47/50\n",
            "129/129 - 3s - loss: 0.0016 - acc: 0.9990\n",
            "Epoch 48/50\n",
            "129/129 - 3s - loss: 0.0025 - acc: 0.9988\n",
            "Epoch 49/50\n",
            "129/129 - 3s - loss: 0.0039 - acc: 0.9985\n",
            "Epoch 50/50\n",
            "129/129 - 3s - loss: 0.0035 - acc: 0.9983\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 590
        },
        "id": "CHgh9gIIQwZ_",
        "outputId": "ba4bb8fa-2e92-404f-bbcd-599f1332c57d"
      },
      "source": [
        "plt.plot(history.history['acc'])\n",
        "plt.title('model accuracy')\n",
        "plt.ylabel('acc')\n",
        "plt.xlabel('epochs')\n",
        "plt.legend(['train', 'test'], loc='upper left')\n",
        "plt.show()\n",
        "plt.savefig('model_accuracy.png')\n",
        "\n",
        "# summarize history for loss\n",
        "plt.plot(history.history['loss'])\n",
        "#plt.plot(history.history['val_loss'])\n",
        "plt.title('model loss')\n",
        "plt.ylabel('loss')\n",
        "plt.xlabel('epochs')\n",
        "plt.legend(['train', 'test'], loc='upper left')\n",
        "plt.show()\n",
        "plt.savefig('model_loss.png')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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6qp9hZqduUjdSTwa1tbV0duYevbG9vZ26ujpqamrYsmULL7zwwgm990gEe9v72N/Vz9TKMs6eXsVf/WYDj/5iN3/z8yZ+8LO3mDe9ig9ffBbDI8Hutt5D7QrtvZlLPNXlpfz25efxmQ+cy8wpFae8v2ZWOJwgUjZr1iwuu+wyLr74Yqqrq5k7d+6hZatWreJb3/oWy5Yt48ILL+R973vfuN93cHiEt1p76O4fYvbUSs6eXsWW/eJDy+byoeVz6e4fYt2mfaz5xW6+//wOaipKD7UjNCyqY96MTNvCZefPZvbUyuN/oJkVnYIZk/p4jdSFpGdgiB0HehgeCebXVVNXkznzP9r+Do/EGdega2Znhrw0UtvEGomgZ2CYzr5BDnQNUFYizqufQnXF8f8LnRzM7GQ4QZyhIoKBoRE6+4fo6huiq3+IkQiEqK0qY0FdNWUncKeSmdmJKvgEERGT7kF2IyPB9gPddPVnev9WlJVQV1PO1KSXamnJkYmhUC4VmtmZo6ATRFVVFQcOHJhUj/yOCHYe7KGrf4izplcxvbqcyrJj97IcHQ+iqqrqNEVpZsWgoBPEggULaGpqoqWlJd+hjFt7b+YRE9OryznQWcaBcW43OqKcmdlEKegEUV5ePqlGWPv+89v5/x7dxm/+yiL+8Pp3TJpaj5kVJrdyniGe2rKPu9ds5KqL5nDXdcudHMws75wgzgCv7Grn9gdeYvm8aXzzlkt8d5KZnRF8JMqz3W29/IfvrmdGdTmrb72UKUcZ+MTM7HTz0SiPhkeC37q/kd6BYR75nV9lzjTfhWRmZw7XIPJow842Nu/p4K6PLefCs2rzHY6Z2WGcIPLoyc37KC0R1yw/K9+hmJkdwQkij57a0syli+tSH3/BzOxkpJogJK2S9KqkrZLuzLF8kaQnJb0s6RlJC7KWDUvakLzWpBlnPjQd7GHL3k6uumju8Vc2M8uDNIccLQXuBa4GmoD1ktZExKas1b4OfC8i7pd0JfDfgE8ly3ojYkVa8eXbU1uaAbhq2Zw8R2JmlluaNYiVwNaI2BYRA8BDwA1j1lkOPJVMP51jecF6YnMzS2ZP4dz6qfkOxcwspzQTxHxgZ9Z8U1KW7RfAJ5LpjwO1kmYl81WSGiW9IOnGXB8g6bZkncbJ9Lyl7v4hXnjjAFdd5NqDmZ258t1I/WXgckkvAZcDu4DhZNmiZJSj3wC+Iem8sRtHxH0R0RARDfX19act6FP1z6/vZ2B4hKuWuf3BzM5caXaU2wUszJpfkJQdEhG7SWoQkqYCvx4RbcmyXcm/2yQ9A1wCvJFivKfNU1v2UVtVRsPiunyHYmZ2VGnWINYDSyUtkVQB3AwcdjeSpNmSRmP4CrA6Ka+TVDm6DnAZkN24PWmNjARPbWnhigvnUO5nLpnZGSy1I1REDAG3A48Bm4GHI2KjpHskXZ+sdgXwqqTXgLnA15LyZUCjpF+Qabz+kzF3P01aL+9qZ39Xv9sfzOyMl+qzmCJiLbB2TNldWdOPAI/k2O454J1pxpYvT27eR4ngigsnT5uJmRUnX+M4zZ7c3EzDopnMqKnIdyhmZsfkBHEa7W7rZdOeDneOM7NJwQniNHLvaTObTJwgTqMnN+9j0awaznPvaTObBJwgTpOegSF++sYBrrporsebNrNJwQniNPnp1gMMDI348pKZTRpOEKfJk5v3UVtZxqWLZ+Y7FDOzcXGCOA0yvaeb+eAF9VSU+Ss3s8nBR6vTYPPeDpo7+7nSvafNbBJxgjgNNu3uAOCSc2bkORIzs/FzgjgNtrZ0UVFawjkza/IdipnZuDlBnAZvNHexZPYUyvz0VjObRHzEOg22Nndx/hx3jjOzycUJImV9g8O81drDeU4QZjbJOEGk7M393YwErkGY2aTjBJGyrc1dACx1gjCzSSbVBCFplaRXJW2VdGeO5YskPSnpZUnPSFqQtexWSa8nr1vTjDNNrzd3USJYMntKvkMxMzshqSUISaXAvcBHgOXALZKWj1nt68D3IuJdwD3Af0u2nQncDbwXWAncLakurVjT9EZzFwtn1lBVXprvUMzMTkiaNYiVwNaI2BYRA8BDwA1j1lkOPJVMP521/MPAuohojYiDwDpgVYqxpmZrc5cvL5nZpJRmgpgP7Myab0rKsv0C+EQy/XGgVtKscW6LpNskNUpqbGlpmbDAJ8rQ8Ajb9nf5DiYzm5Ty3Uj9ZeBySS8BlwO7gOHxbhwR90VEQ0Q01NfXpxXjSXurtYfB4eB8DxBkZpNQWYrvvQtYmDW/ICk7JCJ2k9QgJE0Ffj0i2iTtAq4Ys+0zKcaaitE7mHyLq5lNRmnWINYDSyUtkVQB3AysyV5B0mxJozF8BVidTD8GXCOpLmmcviYpm1S2tjhBmNnklVqCiIgh4HYyB/bNwMMRsVHSPZKuT1a7AnhV0mvAXOBrybatwB+RSTLrgXuSskll674uzppWRW1Veb5DMTM7YWleYiIi1gJrx5TdlTX9CPDIUbZdzds1iklpa4ufwWRmk1e+G6kLVkT4IX1mNqk5QaRkd3sfPQPDThBmNmk5QaTEdzCZ2WTnBJESJwgzm+ycIFKytbmLuppyZk2pyHcoZmYnxQkiJVubOzl/zlQk5TsUM7OT4gSREt/BZGaTnRNECg509XOwZ5Dz59TmOxQzs5PmBJGC191AbWYFwAkiBb6DycwKgRNECrY2d1FTUcq86VX5DsXM7KQ5QaTgjeQZTL6DycwmMyeIFLy+r8uDBJnZpOcEMcE6+wbZ29HnYUbNbNJzgphgb7R0A7DUCcLMJjkniAn2+r5OwHcwmdnkl2qCkLRK0quStkq6M8fycyQ9LeklSS9LujYpXyypV9KG5PWtNOOcSFtbuqgoLeGcmTX5DsXM7JSkNqKcpFLgXuBqoAlYL2lNRGzKWu0PyAxF+peSlpMZfW5xsuyNiFiRVnxpeaO5i8WzaygrdeXMzCa3NI9iK4GtEbEtIgaAh4AbxqwTwLRkejqwO8V4ToutzV0s9SM2zKwApJkg5gM7s+abkrJsXwU+KamJTO3h81nLliSXnp6V9IFcHyDpNkmNkhpbWlomMPST0zc4zFutPb6DycwKQr6vg9wCfDciFgDXAt+XVALsAc6JiEuA3wUekDRt7MYRcV9ENEREQ319/WkNPJc393czEm6gNrPCkGaC2AUszJpfkJRl+y3gYYCIeB6oAmZHRH9EHEjKXwTeAC5IMdYJMfoMJt/iamaFIM0EsR5YKmmJpArgZmDNmHXeAq4CkLSMTIJokVSfNHIj6VxgKbAtxVgnxIs7DlJRVsKS2VPyHYqZ2SlL7S6miBiSdDvwGFAKrI6IjZLuARojYg3wJeA7kr5IpsH60xERkj4I3CNpEBgBfjsiWtOKdSJEBOs27eODS2dTVV6a73DMzE5ZagkCICLWkml8zi67K2t6E3BZju3+BvibNGObaBt3d7CrrZc7rlqa71DMzCZEvhupC8bjG/dSIrhq2Zx8h2JmNiGcICbI45v20bB4JrOmVuY7FDOzCeEEMQF2HOhmy95Orlk+N9+hmJlNGCeICfD4xn0AfPgdZ+U5EjOzieMEMQEe37SXZWdPY6Ef0GdmBcQJ4hTt7+qnccdBX14ys4LjBHGKnti0jwhfXjKzwuMEcYoe37SPBXXVLDvbT3A1s8LiBHEKuvqH+MnW/Vyz/Cwk5TscM7MJ5QRxCp59tYWBoRE+/A63P5hZ4XGCOAWPb9rLzCkVvGdRXb5DMTObcE4QJ2lgaISntjRz1UVzPLyomRWkcR3ZJH1c0vSs+RmSbkwvrDPfz948QGffkO9eMrOCNd5T37sjon10JiLagLvTCWlyeGzjXqrLS3n/0tn5DsXMLBXjTRC51kv1UeFnspGRzNgPl19Q77EfzKxgjTdBNEr6U0nnJa8/BV5MM7Az2cu72tnX0c+HL/bdS2ZWuMabID4PDAA/BB4C+oDPHW8jSaskvSppq6Q7cyw/R9LTkl6S9LKka7OWfSXZ7lVJHx5nnKfF4xv3UloirrzQCcLMCte4LhNFRDdwxAH+WJIxpe8FrgaagPWS1iSjyI36A+DhiPhLScvJjD63OJm+GXgHMA94QtIFETF8IjGkZcPONi6eN43pNeX5DsXMLDXjvYtpnaQZWfN1kh47zmYrga0RsS0iBsjUPG4Ys04A05Lp6cDuZPoG4KGI6I+IN4GtyfudEXYc6GHJ7Cn5DsPMLFXjvcQ0O7lzCYCIOAgcb2zN+cDOrPmmpCzbV4FPSmoiU3v4/Alsi6TbJDVKamxpaRnPfpyyvsFhdrf3stgJwswK3HgTxIikc0ZnJC0mc/Z/qm4BvhsRC4Brge9LGnevs4i4LyIaIqKhvr5+AsI5vrdae4jANQgzK3jjvVX1/wV+IulZQMAHgNuOs80uYGHW/IKkLNtvAasAIuJ5SVXA7HFumxdv7u8GYPEsJwgzK2zjOluPiH8EGoBXgQeBLwG9x9lsPbBU0hJJFWQandeMWect4CoAScuAKqAlWe9mSZWSlgBLgX8Z1x6lbPtognANwswK3LhqEJL+I3AHmTP5DcD7gOeBK4+2TUQMSbodeAwoBVZHxEZJ9wCNEbGGTKL5jqQvkrlk9emICGCjpIeBTcAQ8Lkz5Q6m7Qe6mTmlgunVvoPJzArbeC8x3QFcCrwQEb8m6SLgvx5vo4hYS6bxObvsrqzpTcBlR9n2a8DXxhnfafPm/m4Wz/LY02ZW+MbbINwXEX0AkiojYgtwYXphnbl2HOhx+4OZFYXx1iCakn4QPwbWSToI7EgvrDNT78Awe9r73P5gZkVhvD2pP55MflXS02Q6tf1jalGdoXa0uoHazIrHCT+RNSKeTSOQyWD0DqYlvsRkZkXAQ6GdgDf39wCweLYbqc2s8DlBnIDt+7uZPbWC2irf4mpmhc8J4gS8eaDbdzCZWdFwgjgBOw50s8gJwsyKhBPEOPUMDLGvo58lbn8wsyLhBDFO2w81ULsGYWbFwQlinLYf8FNczay4OEGM05t+iquZFRkniHHavr+b+tpKplaecN9CM7NJyQlinHYc6HEPajMrKk4Q4/TmgW4W+THfZlZEnCDGoat/iJbOfrc/mFlRSTVBSFol6VVJWyXdmWP5n0nakLxek9SWtWw4a9nYoUpPq0MP6XOCMLMiklqLq6RS4F7gaqAJWC9pTTKKHAAR8cWs9T8PXJL1Fr0RsSKt+E6Eb3E1s2KUZg1iJbA1IrZFxADwEHDDMda/BXgwxXhO2vZDt7i6DcLMikeaCWI+sDNrvikpO4KkRcAS4Kms4ipJjZJekHTjUba7LVmnsaWlZaLiPsKb+3uYO62Smgrf4mpmxeNMaaS+GXgkIoazyhZFRAPwG8A3JJ03dqOIuC8iGiKiob6+PrXgdvgprmZWhNJMELuAhVnzC5KyXG5mzOWliNiV/LsNeIbD2ydOq+1OEGZWhNJMEOuBpZKWSKogkwSOuBtJ0kVAHfB8VlmdpMpkejZwGbBp7LanQ2ffIPu7BnyLq5kVndQuqkfEkKTbgceAUmB1RGyUdA/QGBGjyeJm4KGIiKzNlwHfljRCJon9SfbdT6fT6FNc/ZhvMys2qba6RsRaYO2YsrvGzH81x3bPAe9MM7bxevOAH9JnZsXpTGmkPmON3uK6aKYThJkVFyeI49i+v5uzp1dRXVGa71DMzE4rJ4jj8B1MZlasnCCOY/uBHvegNrOi5ARxDO29g7R2D7gGYWZFyQniGLZ7mFEzK2JOEMcw+hRXP+bbzIqRE8QxvLm/GwnOmek2CDMrPk4Qx7B9fzfzpldTVe5bXM2s+DhBHIPvYDKzYuYEcQxNB3t8ecnMipYTxFH0Dw2zv2uAs6dX5zsUM7O8cII4iuaOfgDOml6V50jMzPLDCeIo9rT3AXC2E4SZFSkniKPY094LOEGYWfFygjiKvUkN4iy3QZhZkUo1QUhaJelVSVsl3Zlj+Z9J2pC8XpPUlrXsVkmvJ69b04wzlz3tfdRWljG1MtUxlczMzlipHf0klQL3AlcDTcB6SWuyhw6NiC9mrf954JJkeiZwN9AABPBisu3BtOIda297nxuozayopVmDWAlsjYhtETEAPATccIz1bwEeTKY/DKyLiNYkKfGzqFoAAAsiSURBVKwDVqUY6xH2tPc6QZhZUUszQcwHdmbNNyVlR5C0CFgCPHUi20q6TVKjpMaWlpYJCXrUnvY+N1CbWVE7UxqpbwYeiYjhE9koIu6LiIaIaKivr5+wYAaHR2jp6ncDtZkVtTQTxC5gYdb8gqQsl5t5+/LSiW474Zo7+4nwLa5mVtzSTBDrgaWSlkiqIJME1oxdSdJFQB3wfFbxY8A1kuok1QHXJGWnxd6kD4TbIMysmKV2F1NEDEm6ncyBvRRYHREbJd0DNEbEaLK4GXgoIiJr21ZJf0QmyQDcExGtacU6lntRm5mlmCAAImItsHZM2V1j5r96lG1XA6tTC+4YRjvJnT3NbRBmVrzOlEbqM8qe9j6qy0uZVu1OcmZWvJwgctib3OIqKd+hmJnljRNEDu4kZ2bmBJGTH7NhZuYEcYThkWBfZ7/vYDKzoucEMcb+rn6GR8K9qM2s6DlBjDHaB2KeaxBmVuScIMZwL2ozswwniDHe7kXtS0xmVtycIMbY295HRVkJdTXl+Q7FzCyvnCDG2ONOcmZmgBPEEfa293HWNLc/mJk5QYyxp6PXfSDMzHCCOMzISLCv3SPJmZmBE8RhWnsGGBgecQ3CzAwniMOMjgPhPhBmZiknCEmrJL0qaaukO4+yzk2SNknaKOmBrPJhSRuS1xFDlabBI8mZmb0ttRFxJJUC9wJXA03AeklrImJT1jpLga8Al0XEQUlzst6iNyJWpBVfLu5FbWb2tjRrECuBrRGxLSIGgIeAG8as8xng3og4CBARzSnGc1x72vsoKxGzp1TmMwwzszNCmgliPrAza74pKct2AXCBpJ9KekHSqqxlVZIak/Ibc32ApNuSdRpbWlpOOeC97X3MnVZFSYk7yZmZ5XvQ5TJgKXAFsAD4J0nvjIg2YFFE7JJ0LvCUpF9GxBvZG0fEfcB9AA0NDXGqwYz2ojYzs3RrELuAhVnzC5KybE3AmogYjIg3gdfIJAwiYlfy7zbgGeCSFGMFYG+HR5IzMxuVZoJYDyyVtERSBXAzMPZupB+TqT0gaTaZS07bJNVJqswqvwzYRIoigt1t7kVtZjYqtUtMETEk6XbgMaAUWB0RGyXdAzRGxJpk2TWSNgHDwO9FxAFJvwp8W9IImST2J9l3P6WhrWeQ/qER96I2M0uk2gYREWuBtWPK7sqaDuB3k1f2Os8B70wztrHcB8LM7HDuSZ3Y2+E+EGZm2ZwgEq5BmJkdzgkisbe9jxJB/VR3kjMzAyeIQ/a09zGntoqyUn8lZmbgBHHI3nb3gTAzy+YEkdjT7j4QZmbZnCDIdJLb4xqEmdlhnCCAzv4hegaGXYMwM8viBEH2SHLuRW1mNsoJAveBMDPLxQmCrJHkpjlBmJmNcoIgU4OQYK4ThJnZIU4QZNogZk+tpKLMX4eZ2SgfEfFIcmZmuThBkPSi9uUlM7PDOEHgXtRmZrmkmiAkrZL0qqStku48yjo3SdokaaOkB7LKb5X0evK6Na0Yu/uH6Ogbch8IM7MxUhtRTlIpcC9wNdAErJe0JnvoUElLga8Al0XEQUlzkvKZwN1AAxDAi8m2Byc6zv6hET727nlcPH/aRL+1mdmkluaQoyuBrRGxDUDSQ8ANQPbY0p8B7h098EdEc1L+YWBdRLQm264DVgEPTnSQM6dU8Oe3XDLRb2tmNumleYlpPrAza74pKct2AXCBpJ9KekHSqhPYFkm3SWqU1NjS0jKBoZuZWb4bqcuApcAVwC3AdyTNGO/GEXFfRDREREN9fX1KIZqZFac0E8QuYGHW/IKkLFsTsCYiBiPiTeA1MgljPNuamVmK0kwQ64GlkpZIqgBuBtaMWefHZGoPSJpN5pLTNuAx4BpJdZLqgGuSMjMzO01Sa6SOiCFJt5M5sJcCqyNio6R7gMaIWMPbiWATMAz8XkQcAJD0R2SSDMA9ow3WZmZ2eigi8h3DhGhoaIjGxsZ8h2FmNqlIejEiGnIty3cjtZmZnaGcIMzMLKeCucQkqQXYcQpvMRvYP0HhTCbe7+Li/S4u49nvRRGRs59AwSSIUyWp8WjX4QqZ97u4eL+Ly6nuty8xmZlZTk4QZmaWkxPE2+7LdwB54v0uLt7v4nJK++02CDMzy8k1CDMzy8kJwszMcir6BDGeYVELhaTVkpolvZJVNlPSumRo13XJwxELhqSFkp7OGtb2jqS80Pe7StK/SPpFst9/mJQvkfSz5Pf+w+RBmgVHUqmklyT9XTJfLPu9XdIvJW2Q1JiUnfRvvagTRNawqB8BlgO3SFqe36hS9V0yI/NluxN4MiKWAk8m84VkCPhSRCwH3gd8Lvk/LvT97geujIh3AyuAVZLeB/x34M8i4nzgIPBbeYwxTXcAm7Pmi2W/AX4tIlZk9X846d96UScIsoZFjYgBYHRY1IIUEf8EjH0q7g3A/cn0/cCNpzWolEXEnoj4eTLdSeagMZ/C3++IiK5ktjx5BXAl8EhSXnD7DSBpAfBR4K+SeVEE+30MJ/1bL/YEMa6hTQvc3IjYk0zvBebmM5g0SVoMXAL8jCLY7+QyywagGVgHvAG0RcRQskqh/t6/AfwXYCSZn0Vx7DdkTgIel/SipNuSspP+rac2HoRNPhERkgryvmdJU4G/Ab4QER2Zk8qMQt3viBgGViTD+P4IuCjPIaVO0nVAc0S8KOmKfMeTB++PiF2S5gDrJG3JXniiv/Vir0F4aFPYJ+lsgOTf5jzHM+EklZNJDj+IiP+bFBf8fo+KiDbgaeBXgBmSRk8MC/H3fhlwvaTtZC4ZXwn8Twp/vwGIiF3Jv81kTgpWcgq/9WJPEOMZFrXQrQFuTaZvBR7NYywTLrn+/NfA5oj406xFhb7f9UnNAUnVwNVk2l+eBv51slrB7XdEfCUiFkTEYjJ/z09FxL+jwPcbQNIUSbWj02SGan6FU/itF31PaknXkrlmOTos6tfyHFJqJD1IZgzw2cA+4G4y44I/DJxD5nHpNxXS8K6S3g/8M/BL3r4m/ftk2iEKeb/fRaZBspTMieDDEXGPpHPJnFnPBF4CPhkR/fmLND3JJaYvR8R1xbDfyT7+KJktAx6IiK9JmsVJ/taLPkGYmVluxX6JyczMjsIJwszMcnKCMDOznJwgzMwsJycIMzPLyQnCLI8kXTH6xFGzM40ThJmZ5eQEYTYOkj6ZjK+wQdK3kwfhdUn6s2S8hScl1SfrrpD0gqSXJf1o9Pn7ks6X9EQyRsPPJZ2XvP1USY9I2iLpB0nvbyT9STKOxcuSvp6nXbci5gRhdhySlgH/FrgsIlYAw8C/A6YAjRHxDuBZMj3TAb4H/D8R8S4yPbhHy38A3JuM0fCrwOgTNi8BvkBmTJJzgcuS3q8fB96RvM8fp7uXZkdygjA7vquA9wDrk8dnX0XmQD4C/DBZ538D75c0HZgREc8m5fcDH0yekTM/In4EEBF9EdGTrPMvEdEUESPABmAx0A70AX8t6RPA6Lpmp40ThNnxCbg/GaVrRURcGBFfzbHeyT63JvuZQMNAWTJ2wUoyg9xcB/zjSb632UlzgjA7vieBf508Y390jN9FZP5+Rp8Q+hvATyKiHTgo6QNJ+aeAZ5PR7Jok3Zi8R6WkmqN9YDJ+xfSIWAt8EXh3GjtmdiweMMjsOCJik6Q/IDNSVwkwCHwO6AZWJsuaybRTQOaRyt9KEsA24N8n5Z8Cvi3pnuQ9/s0xPrYWeFRSFZkazO9O8G6ZHZef5mp2kiR1RcTUfMdhlhZfYjIzs5xcgzAzs5xcgzAzs5ycIMzMLCcnCDMzy8kJwszMcnKCMDOznP5/yu2/gyQnK14AAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 432x288 with 0 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "IF2mjLsiReRR"
      },
      "source": [
        "from nltk.stem import WordNetLemmatizer\n",
        "wordnet_lemmatizer = WordNetLemmatizer()"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "PMfjLCvdf9fm",
        "outputId": "c2c9177f-b3bf-4eb7-e18c-0024ce478da0"
      },
      "source": [
        "# evaluate the model\n",
        "_, train_acc = model.evaluate(X_train, Y_train, verbose=2)\n",
        "_, test_acc = model.evaluate(X_test, Y_test, verbose=2)\n",
        "print('Train: %.3f, Test: %.4f' % (train_acc, test_acc))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "129/129 - 1s - loss: 0.0014 - acc: 0.9990\n",
            "23/23 - 0s - loss: 1.2668 - acc: 0.7070\n",
            "Train: 0.999, Test: 0.7070\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Q2Yp8T8JgTGZ",
        "outputId": "7636d01f-d9d8-4382-bb69-f7244d3bfe30"
      },
      "source": [
        "# predict probabilities for test set\n",
        "yhat_probs = model.predict(X_test, verbose=0)\n",
        "print(yhat_probs)\n",
        "# predict crisp classes for test set\n",
        "yhat_classes = model.predict_classes(X_test, verbose=0)\n",
        "print(yhat_classes)\n",
        "# reduce to 1d array\n",
        "#yhat_probs = yhat_probs[:, 0]\n",
        "#yhat_classes = yhat_classes[:, 1"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "[[1.2858484e-08 9.9999988e-01 7.5911345e-08]\n",
            " [4.5904343e-09 3.2719556e-09 1.0000000e+00]\n",
            " [6.2514447e-09 1.0000000e+00 8.2099429e-09]\n",
            " ...\n",
            " [6.4190841e-05 2.7082358e-05 9.9990869e-01]\n",
            " [2.1852993e-09 1.0000000e+00 5.0710978e-09]\n",
            " [3.0550893e-06 1.3228721e-04 9.9986470e-01]]\n",
            "[1 2 1 1 1 1 1 1 1 1 1 1 2 0 1 1 1 1 2 1 1 1 2 2 1 2 1 2 2 0 1 1 1 0 1 2 0\n",
            " 2 1 1 2 1 0 1 2 1 1 1 2 1 0 1 2 0 1 2 1 1 2 1 2 2 2 2 1 1 1 1 2 0 1 2 2 1\n",
            " 1 1 1 1 1 2 1 0 2 1 2 2 1 2 1 2 2 1 1 0 1 1 2 1 2 1 0 1 1 0 2 1 1 1 0 1 1\n",
            " 1 0 2 1 2 2 2 0 2 2 2 2 1 1 1 2 1 2 1 1 1 0 1 2 1 2 1 1 1 1 1 1 1 1 1 0 1\n",
            " 0 1 1 1 1 2 1 2 2 1 0 0 1 1 1 2 1 2 1 0 1 2 1 2 2 1 2 0 1 2 1 2 2 2 2 1 1\n",
            " 0 1 2 1 1 1 2 2 1 0 2 2 1 1 2 1 1 1 1 1 2 1 1 2 1 2 1 1 1 2 1 1 0 2 2 2 1\n",
            " 1 1 1 1 1 2 1 1 2 2 2 1 0 2 1 1 1 1 1 1 1 2 2 1 1 1 1 2 1 1 2 1 1 2 1 1 1\n",
            " 1 1 2 1 2 0 0 2 0 1 1 1 1 0 1 1 1 1 2 2 2 1 1 1 1 1 1 1 1 2 1 1 0 2 1 0 1\n",
            " 1 0 2 1 2 1 1 1 1 0 1 2 1 2 1 0 2 1 1 1 1 1 1 2 1 1 2 1 2 1 1 1 1 1 1 1 1\n",
            " 1 2 1 1 2 2 1 2 2 1 2 1 0 1 2 1 1 2 1 2 1 1 1 2 1 0 2 1 1 1 1 2 2 2 2 1 2\n",
            " 2 2 1 1 1 1 1 1 2 2 2 2 0 1 2 2 1 1 2 1 2 1 1 1 1 2 1 1 1 2 2 1 1 1 0 0 1\n",
            " 2 1 1 0 1 1 2 1 0 2 2 1 2 1 2 2 1 0 1 1 1 2 1 2 2 1 1 1 1 2 2 0 1 1 2 1 1\n",
            " 1 1 1 2 2 0 1 0 1 2 1 2 0 1 1 2 1 2 1 2 1 2 1 2 1 1 1 2 1 1 1 1 1 2 1 2 1\n",
            " 2 1 2 2 1 1 1 2 2 1 1 2 1 1 2 1 1 2 0 2 1 1 1 2 2 1 1 1 1 0 2 2 1 2 2 1 2\n",
            " 2 2 2 2 2 1 1 1 1 2 2 1 1 1 2 1 1 1 1 1 1 1 1 1 1 2 1 1 1 2 1 1 1 1 1 1 1\n",
            " 0 0 2 1 2 1 2 0 2 1 2 1 2 0 1 1 1 1 1 1 1 1 1 0 1 1 1 2 1 2 2 1 1 1 1 1 1\n",
            " 2 2 2 1 1 1 0 1 2 1 2 1 0 2 0 1 2 1 2 1 1 2 1 1 1 0 1 2 2 0 1 1 1 2 2 1 2\n",
            " 1 1 2 1 1 2 1 1 2 1 1 0 1 1 1 1 1 2 1 1 0 2 1 2 2 1 0 0 2 1 1 1 1 1 1 1 0\n",
            " 1 1 1 2 1 1 1 1 2 1 1 1 2 0 1 1 1 1 1 2 1 2 1 2 1 2 1 2 2 0 1 1 1 1 1 2 1\n",
            " 0 1 2 1 1 1 2 1 0 1 1 1 1 1 2 1 2 1 1 1 1 2 1 2]\n"
          ],
          "name": "stdout"
        },
        {
          "output_type": "stream",
          "text": [
            "/usr/local/lib/python3.7/dist-packages/tensorflow/python/keras/engine/sequential.py:450: UserWarning: `model.predict_classes()` is deprecated and will be removed after 2021-01-01. Please use instead:* `np.argmax(model.predict(x), axis=-1)`,   if your model does multi-class classification   (e.g. if it uses a `softmax` last-layer activation).* `(model.predict(x) > 0.5).astype(\"int32\")`,   if your model does binary classification   (e.g. if it uses a `sigmoid` last-layer activation).\n",
            "  warnings.warn('`model.predict_classes()` is deprecated and '\n"
          ],
          "name": "stderr"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Aoc03lXSg_uU",
        "outputId": "77bb9705-761a-45f0-b6dc-de3b2d39fc32"
      },
      "source": [
        "import numpy as np\n",
        "rounded_labels=np.argmax(Y_test, axis=1)\n",
        "rounded_labels"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 0, 1, 2, 1, 2, 2, 0, 0, 1,\n",
              "       2, 2, 1, 2, 1, 2, 2, 0, 1, 1, 2, 0, 1, 2, 0, 2, 1, 1, 2, 1, 0, 1,\n",
              "       2, 1, 1, 1, 2, 2, 0, 1, 2, 0, 1, 2, 1, 1, 1, 1, 2, 2, 2, 1, 0, 1,\n",
              "       2, 1, 1, 1, 1, 2, 2, 2, 2, 1, 2, 1, 1, 2, 1, 0, 2, 1, 2, 2, 2, 2,\n",
              "       2, 2, 2, 1, 0, 0, 1, 2, 1, 1, 2, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1,\n",
              "       1, 2, 0, 1, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 2, 2, 1, 2, 1, 0, 2,\n",
              "       1, 1, 2, 1, 2, 0, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1,\n",
              "       1, 1, 1, 1, 0, 0, 2, 2, 1, 2, 1, 2, 1, 0, 1, 1, 1, 2, 1, 1, 2, 1,\n",
              "       1, 1, 1, 1, 2, 2, 1, 2, 1, 0, 1, 0, 1, 0, 1, 1, 2, 2, 1, 2, 0, 1,\n",
              "       0, 2, 1, 1, 2, 0, 1, 2, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 1, 0, 2, 1,\n",
              "       2, 1, 1, 1, 0, 1, 1, 2, 1, 1, 1, 2, 2, 1, 0, 2, 1, 2, 1, 1, 1, 1,\n",
              "       1, 0, 2, 2, 2, 1, 1, 1, 1, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2,\n",
              "       0, 1, 0, 1, 1, 2, 1, 1, 0, 2, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 1,\n",
              "       1, 1, 0, 1, 2, 1, 2, 0, 0, 1, 1, 1, 2, 1, 2, 1, 1, 0, 1, 0, 1, 2,\n",
              "       1, 2, 1, 0, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 1, 2, 1, 1,\n",
              "       1, 1, 2, 2, 2, 2, 2, 2, 1, 1, 1, 1, 2, 1, 1, 1, 0, 2, 0, 1, 2, 1,\n",
              "       1, 1, 1, 1, 2, 1, 0, 2, 1, 1, 1, 1, 2, 2, 1, 0, 1, 2, 2, 2, 1, 1,\n",
              "       1, 2, 1, 2, 0, 2, 2, 1, 0, 1, 2, 1, 2, 1, 1, 1, 1, 2, 1, 2, 1, 0,\n",
              "       0, 1, 2, 1, 1, 2, 1, 1, 0, 0, 2, 1, 1, 1, 1, 1, 2, 2, 1, 0, 2, 1,\n",
              "       1, 2, 0, 2, 1, 0, 0, 1, 1, 0, 1, 1, 2, 2, 1, 1, 1, 1, 1, 2, 0, 2,\n",
              "       1, 2, 1, 1, 1, 1, 2, 0, 1, 0, 1, 1, 1, 1, 1, 1, 0, 1, 1, 2, 1, 1,\n",
              "       1, 1, 1, 1, 1, 0, 1, 0, 1, 1, 1, 1, 1, 1, 2, 1, 1, 2, 1, 2, 1, 2,\n",
              "       1, 1, 1, 1, 2, 2, 1, 1, 1, 1, 1, 1, 1, 2, 1, 1, 1, 0, 1, 1, 2, 1,\n",
              "       1, 1, 1, 1, 0, 2, 2, 1, 2, 1, 2, 1, 1, 1, 1, 2, 2, 1, 1, 1, 2, 2,\n",
              "       1, 1, 0, 1, 2, 1, 1, 1, 1, 1, 1, 1, 1, 2, 1, 2, 1, 1, 2, 2, 0, 2,\n",
              "       2, 1, 1, 1, 1, 2, 0, 1, 2, 1, 1, 2, 0, 0, 1, 2, 1, 2, 0, 2, 2, 1,\n",
              "       1, 1, 1, 1, 1, 1, 0, 1, 1, 2, 2, 1, 1, 2, 1, 1, 1, 1, 2, 1, 1, 2,\n",
              "       2, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 2, 0, 1, 0, 1, 2, 1, 2, 2, 2, 1,\n",
              "       1, 0, 1, 2, 0, 0, 1, 2, 1, 2, 1, 1, 2, 1, 2, 2, 0, 2, 2, 1, 1, 2,\n",
              "       1, 1, 1, 1, 1, 1, 1, 2, 2, 1, 1, 0, 2, 2, 2, 2, 1, 2, 0, 2, 1, 1,\n",
              "       2, 1, 1, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 0, 1, 2,\n",
              "       1, 1, 1, 0, 2, 2, 1, 2, 1, 0, 1, 1, 1, 0, 1, 2, 1, 1, 1, 2, 1, 1,\n",
              "       0, 2, 1, 1, 1, 2, 1, 0, 1, 1, 1, 1, 2, 2, 2, 2, 1, 2, 1, 2, 1, 2,\n",
              "       2])"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 30
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 350
        },
        "id": "8_usaM3pyfdS",
        "outputId": "ada9de28-ec27-48bb-880c-575e54c03dea"
      },
      "source": [
        "# The confusion matrix\n",
        "from sklearn.metrics import confusion_matrix\n",
        "import seaborn as sns\n",
        "\n",
        "lstm_val = confusion_matrix(rounded_labels, yhat_classes)\n",
        "f, ax = plt.subplots(figsize=(5,5))\n",
        "sns.heatmap(lstm_val, annot=True, linewidth=0.7, linecolor='cyan', fmt='g', ax=ax, cmap=\"BuPu\")\n",
        "plt.title('LSTM Classification Confusion Matrix')\n",
        "plt.xlabel('Y predict')\n",
        "plt.ylabel('Y test')\n",
        "plt.show()"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 360x360 with 2 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Y_cwPqLrynj1",
        "outputId": "2461510a-0c50-4ea4-f35c-8354ae00ec8c"
      },
      "source": [
        "validation_size = 610\n",
        "\n",
        "X_validate = X_test[-validation_size:]\n",
        "Y_validate = Y_test[-validation_size:]\n",
        "X_test = X_test[:-validation_size]\n",
        "Y_test = Y_test[:-validation_size]\n",
        "score,acc = model.evaluate(X_test, Y_test, verbose = 1, batch_size = batch_size)\n",
        "\n",
        "print(\"score: %.2f\" % (score))\n",
        "print(\"acc: %.2f\" % (acc))"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "4/4 [==============================] - 0s 8ms/step - loss: 1.2463 - acc: 0.7778\n",
            "score: 1.25\n",
            "acc: 0.78\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "SCzJUtHyyrcs"
      },
      "source": [
        "model.save('Mymodel.h5')"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "hP8HJdHm0qP1"
      },
      "source": [
        "# Testing the model"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mU71n324yv0A",
        "outputId": "2a5f1b22-4ce3-43a0-b1c6-ed11ced6b18d"
      },
      "source": [
        "message = ['Global warming will kill us all.']\n",
        "seq = tokenizer.texts_to_sequences(message)\n",
        "\n",
        "padded = pad_sequences(seq, maxlen=X.shape[1], dtype='int32', value=0)\n",
        "\n",
        "pred = model.predict(padded)\n",
        "\n",
        "labels = ['0','-1','1']\n",
        "# print(pred, labels[np.argmax(pred)])\n",
        "if labels[np.argmax(pred)] == '0':\n",
        "  print('neutral')\n",
        "elif labels[np.argmax(pred)] == '1':\n",
        "  print('possitive')\n",
        "else:\n",
        "  print('negative')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "possitive\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "5Vj04ApCzAys",
        "outputId": "a63686f7-9e4f-4e55-a2be-670fc7d5f0c3"
      },
      "source": [
        "message = ['Hospitals in Brazilian cities close to collapse.']\n",
        "seq = tokenizer.texts_to_sequences(message)\n",
        "\n",
        "padded = pad_sequences(seq, maxlen=X.shape[1], dtype='int32', value=0)\n",
        "\n",
        "pred = model.predict(padded)\n",
        "\n",
        "labels = ['0','-1','1']\n",
        "# print(pred, labels[np.argmax(pred)])\n",
        "if labels[np.argmax(pred)] == '0':\n",
        "  print('neutral')\n",
        "elif labels[np.argmax(pred)] == '1':\n",
        "  print('possitive')\n",
        "else:\n",
        "  print('negative')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "negative\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "1wuW1JB5zYD7"
      },
      "source": [
        ""
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "InzB61VPz7zb",
        "outputId": "922e075a-4987-4f3a-86c9-900bbc38e5f2"
      },
      "source": [
        "message = ['AI kills all humans.']\n",
        "seq = tokenizer.texts_to_sequences(message)\n",
        "\n",
        "padded = pad_sequences(seq, maxlen=X.shape[1], dtype='int32', value=0)\n",
        "\n",
        "pred = model.predict(padded)\n",
        "\n",
        "labels = ['0','-1','1']\n",
        "# print(pred, labels[np.argmax(pred)])\n",
        "if labels[np.argmax(pred)] == '0':\n",
        "  print('neutral')\n",
        "elif labels[np.argmax(pred)] == '1':\n",
        "  print('possitive')\n",
        "else:\n",
        "  print('negative')"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "text": [
            "negative\n"
          ],
          "name": "stdout"
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CfJHj2LAMau5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 280
        },
        "outputId": "f28c6c63-c4cf-4d0e-ca6c-c004584075ec"
      },
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "np.random.seed(0)\n",
        "\n",
        "# modified from https://cs231n.github.io/neural-networks-case-study/\n",
        "def create_data(points, classes):\n",
        "    X = np.zeros((points * classes, 2))\n",
        "    y = np.zeros(points * classes, dtype = 'uint8')\n",
        "    for class_number in range(classes):\n",
        "        ix = range(points * class_number, points * (class_number + 1))\n",
        "        r = np.linspace(0.0, 1, points) # radius        \n",
        "        t = np.linspace(class_number * 4, (class_number + 1) * 4, points) + np.random.randn(points) * 0.2\n",
        "        X[ix] = np.c_[r * np.sin(t * 2.5), r * np.cos(t * 2.5)]\n",
        "        y[ix] = class_number\n",
        "    return X, y\n",
        "\n",
        "\n",
        "\n",
        "X, y = create_data(100, 3)\n",
        "plt.xlabel('Points')\n",
        "plt.ylabel('Values')\n",
        "plt.scatter(X[:, 0], X[:, 1], c = y, cmap = 'brg')\n",
        "plt.show()\n"
      ],
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 432x288 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": [],
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "UeD2nD_7i_nT"
      },
      "source": [
        ""
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}