IMDB Sentiment Analysis 🎬

This Streamlit app predicts the sentiment (positive/negative) of your movie reviews using a pre-trained machine learning model.

Features

• Text preprocessing (cleaning and stemming)
• Sentiment prediction with a trained model
• Web interface using Streamlit
• Model training and evaluation in Jupyter Notebook

How It Works

1. Preprocessing: Cleans and stems the review text.
2. TF-IDF Vectorization: Converts the text into numerical features.
3. Prediction: Predicts sentiment using the pre-trained model.

Files

• app.py: Runs the Streamlit app.
• model.pkl: Pre-trained sentiment analysis model.
• tfidf_vectorizer.pkl: TF-IDF vectorizer.
• notebook.ipynb: Model training and evaluation.
• requirements.txt: Dependencies.

Contributing

Fork the repository and submit pull requests for new features or improvements.