YouTube Comment Sentiment Analysis

Overview

This project analyzes the sentiment of YouTube comments, classifying them as positive, negative, or neutral using natural language processing techniques. It provides insights into audience reactions and opinions.

Features

• Sentiment Classification: Uses methods like VADER and BERT for sentiment analysis.
• Data Visualization: Visualizes sentiment trends and insights.

Usage

1. Install the required libraries (e.g., pandas, numpy, matplotlib, nltk, textblob, transformers).
2. Update the script with your configuration.
3. Run the sentiment analysis script to analyze comments.

Contributing

Contributions are welcome! Feel free to open an issue or submit a pull request.

License

This project is licensed under the MIT License.

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