README.md

metadata

title: Universal Website Sentiment Analyzer
emoji: 📊
colorFrom: blue
colorTo: green
sdk: streamlit
sdk_version: 1.44.1
app_file: app.py
pinned: false

📊 Universal Website Sentiment Analyzer

This Streamlit app analyzes text content from any website. It provides sentiment analysis and categorizes content by topic.

Features

• Works with any website - no domain restrictions
• Extracts and analyzes text content from web pages
• Performs sentiment analysis (positive, negative, neutral)
• Categorizes content by topic (hiking, fees, facilities, etc.)
• Visualizes sentiment distribution across categories
• Shows confidence scores for sentiment analysis
• Generates word clouds from extracted text
• Attempts to identify fees, facilities, and activities when relevant

Usage

1. Enter any website URL
2. Click "Analyze" to process the webpage
3. Explore the visualizations and extracted information

Categories Analyzed

• Hiking: trail conditions, paths, hiking experiences
• Fees: costs, prices, payment information
• Equipment: gear, supplies needed for activities
• Water: lakes, rivers, water features
• Facilities: restrooms, visitor centers, amenities

Example URLs

You can analyze any website, such as:

• Product reviews: https://www.amazon.com/product-reviews/...
• Travel destinations: https://www.tripadvisor.com/...
• Restaurant reviews: https://www.yelp.com/...
• News articles: https://www.cnn.com/...
• Blog posts: https://medium.com/...

Technical Details

This app uses:

• Transformers library with DistilBERT for sentiment analysis
• SpaCy for natural language processing
• Beautiful Soup for web scraping
• Matplotlib and WordCloud for visualizations