Sentiment Analysis Project

A sentiment analysis tool that predicts the sentiment (positive, negative, or neutral) of text input. This project includes both a Flask web application and a Streamlit application.

Files

• sentiment_analysis.py: Core module containing the preprocessing and sentiment prediction logic
• sentiment_webapp.py: Flask web application for sentiment analysis
• streamlit_app.py: Streamlit web application for sentiment analysis
• requirements.txt: Dependencies for the project
• render.yaml: Configuration for deployment on Render

Setup

1. Install the required packages:

   pip install -r requirements.txt
   

2. Run the Streamlit app:

   streamlit run streamlit_app.py
   

   Or run the Flask app:

   python sentiment_webapp.py
   

Model

The project uses a logistic regression model trained on Twitter sentiment data.