Google Reviews Sentiment Analysis Tool

This tool helps businesses analyze their reviews by providing:

• Sentiment analysis of reviews
• Weekly summary reports
• Real-time complaint detection
• Sentiment trend visualization

Features

• Sentiment Analysis: Uses Hugging Face's DistilBERT model for accurate sentiment classification
• Complaint Detection: Identifies negative reviews and complaints using keyword matching
• Weekly Reports: Generates PDF reports with sentiment trends and complaint summaries
• Vector Storage: Uses ChromaDB for efficient review storage and retrieval
• RAG Workflow: Implements Retrieval-Augmented Generation for better analysis

Setup

1. Run the setup script:

python setup.py

This will:

• Create a virtual environment (if not exists)
• Install all required dependencies
• Download necessary models (spaCy, sentence transformers, sentiment analysis)

Usage with Sample Data

1. Run the sample analyzer:

python sample_review_analyzer.py

This will:

• Process sample reviews from sample_reviews.json
• Generate a weekly report
• Show sentiment analysis results
• Display detected complaints
• Create visualizations

Output

• Weekly PDF reports in weekly_report.pdf
• Sentiment trend visualization in sentiment_trend.png
• Console output with analysis results

Customization

You can customize:

• Add more reviews to sample_reviews.json
• Modify complaint keywords in review_analyzer.py
• Adjust report format in review_analyzer.py

Future Integration with Google Reviews API

When you have access to the Google Reviews API:

1. Create a .env file with your API key:

GOOGLE_PLACES_API_KEY=your_api_key_here

2. Update the place_id in google_reviews_fetcher.py
3. Run python google_reviews_fetcher.py

Note

This tool uses free and open-source models and libraries. No paid API keys are required for the sample data version.