Task 4: Social Media Sentiment Analysis

Description

This repository contains code for Task 4 of the Prodigy Data Science Internship. The task involves analyzing and visualizing sentiment patterns in social media data to understand public opinion and attitudes towards specific topics or brands.

Dataset

The dataset used for this task is the Twitter Entity Sentiment Analysis dataset available on Kaggle.

Requirements

• Python 3.x
• pandas
• NLTK
• Matplotlib
• seaborn
• wordcloud

Usage

1. Clone this repository to your local machine.
2. Install the required Python packages using pip install -r requirements.txt.
3. Download the dataset and place it in the project directory.
4. Run the Jupyter Notebook or Python script to perform sentiment analysis and visualization on the dataset.

Author

Purnabrata Panja

License

This project is licensed under the MIT License.