🎬 Movie Sentiment AI A sleek, dark-themed web application built with Python and Streamlit that analyzes the emotional tone of movie reviews using Natural Language Processing (NLP).
Features Real-time Analysis: Get instant sentiment scores for any movie review. Visual Word Clouds: Generates a word cloud to highlight key terms in your review. Bulk Processing: Upload a CSV file with multiple reviews to analyze them all at once. Data Visualization: Interactive bar charts showing sentiment distribution. Export Results: Download your analyzed data back into a CSV file. Custom Dark Theme: Optimized for a modern, eye-friendly developer aesthetic.
Tech Stack Frontend: Streamlit NLP Engine: TextBlob Data Handling: Pandas Visuals: Matplotlib & WordCloud
Quick Start
- Clone the repository git clone https://github.com/YOUR_USERNAME/movie-sentiment-app.git cd movie-sentiment-app
- Install dependencies pip install streamlit textblob pandas matplotlib wordcloud
- Run the app streamlit run app.py
Project Structure app.py: The main application logic. .streamlit/config.toml: Custom dark theme configuration. test_reviews.csv: Sample data for testing bulk files
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