sentiment_analysis_project

Sentiment analysis uses natural language processing and machine learning techniques to analyze the emotional tone or sentiment behind a piece of text. It involves identifying and categorizing opinions expressed in a text as positive, negative, or neutral.

👍 Click here to download dataset.

Steps

1. Download Dataset
2. Data Preprocessing
   • Text Preprocessing
   • Build Vocabulary
   • Vectorization
   • Handle Imbalanced Dataset
3. Model Building
   • Logistic Regression
   • Naive Bayes
   • Decision Tree
   • Random Forest
   • Support Vector Machine
4. Model Evaluation
   • Accuracy
   • Precision
   • Recall
   • F1 Score
5. Build Prediction Pipeline
6. Build Web Application
7. Deploy to Azure

Final Application