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| 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 |