A Python script that analyzes sentiment distribution in YouTube comments using TextBlob, visualizes results with Matplotlib, summarizes findings using Gemini AI, and provides audio feedback via text-to-speech.
- Comment Extraction: Fetches comments from any YouTube video
- Text Processing: Removes emojis and processes multilingual comments
- Sentiment Analysis: Performs sentiment analysis (Positive/Negative/Neutral) using TextBlob
- AI Summarization: Generates intelligent summaries using Gemini 1.5 Flash AI
- Text-to-Speech: Converts analysis results to audio using gTTS
- Data Visualization: Creates visualizations of sentiment distribution
- Multilingual Support: Handles Hindi comments with optional transliteration
- Real-time Analysis: Provides instant sentiment insights for any YouTube video
| Component | Technology |
|---|---|
| Sentiment Analysis | TextBlob |
| AI Summarization | Gemini 1.5 Flash |
| Text-to-Speech | gTTS (Google Text-to-Speech) |
| Data Visualization | Matplotlib |
| Text Processing | Regex, Googletrans |
| Comment Extraction | YouTube Data API |
# Install required packages
!pip install googletrans==4.0.0-rc1
!pip install textblob matplotlib
!pip install google-generativeai
!pip install regex
!pip install gTTS
!pip install playsound
!pip install --upgrade google-api-python-client
# Download TextBlob corpora
!python -m textblob.download_corpora