Sentiment Analysis of YouTube Comments Using Python & TextBlob. This beginner-friendly project allows you to perform sentiment analysis on a dataset of YouTube-style comments using simple Python tools like Pandas and TextBlob. With just a few lines of code, you can:
- Load a .csv file containing user comments
- Automatically classify each comment as Positive, Negative, or Neutral
- Export the results into a new file for reporting or visualization This project is a great starting point for anyone new to Natural Language Processing (NLP), sentiment analysis, or working with real-world text data. It helps track user sentiment, monitor content performance, and can easily be extended with charts or ML models.