This project performs sentiment analysis on YouTube comments using the VADER (Valence Aware Dictionary and sEntiment Reasoner) model — a lexicon and rule-based sentiment analysis tool designed for social media text.
Currently implemented in a Jupyter Notebook, this is the prototype stage of a future full-stack sentiment analysis app.
✅ Notebook Phase: Text-based sentiment analysis using VADER to classify comments as positive, negative, or neutral.
🔜 Next Steps:
- Turn the notebook into a REST API (Flask/FastAPI)
- Build an interactive frontend (React/Next.js)
- Full-stack deployment
🤝 Contributing
Ideas, feedback, and contributions are welcome!