VibeCheck

This is a YouTube Comment Analyzer that fetches comments from a given video, processes them, and performs context-aware sentiment analysis.

Features:

• Extracts comments from YouTube videos using the YouTube Data API.
• Cleans and preprocesses text (removes URLs, emojis, stopwords, etc.).
• Uses VADER Sentiment Analysis and BERT-based classification.
• Extracts topics from comments using Latent Dirichlet Allocation (LDA).
• Provides insights and suggestions based on sentiment distribution.
• Saves processed data to a CSV file.

Technologies Used:

• Python
• Google YouTube API
• NLTK (Natural Language Toolkit)
• VADER Sentiment Analysis
• BERT Transformers
• Scikit-Learn (for topic modeling