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| title: Amazon Review Sentiment Analysis | |
| emoji: 📊 | |
| colorFrom: blue | |
| colorTo: indigo | |
| sdk: streamlit | |
| sdk_version: 1.22.0 | |
| app_file: app.py | |
| pinned: false | |
| # Amazon Review Sentiment Analysis | |
| This Streamlit application analyzes the sentiment of product reviews and predicts ratings (1-5 stars) using a pre-trained model from Hugging Face. | |
| ## Features | |
| - Real-time sentiment analysis of product reviews | |
| - Rating prediction (1-5 stars) | |
| - Confidence scores for each rating | |
| - Multi-language support (English, Dutch, German, French, Spanish, Italian) | |
| ## Model Information | |
| The application uses the [LiYuan/amazon-review-sentiment-analysis](https://huggingface.co/LiYuan/amazon-review-sentiment-analysis) model from Hugging Face, which is based on DistilBERT and was trained on a large dataset of Amazon product reviews. | |
| ## Usage | |
| 1. Enter your review text in the text area | |
| 2. Click "Analyze Sentiment" | |
| 3. View the predicted rating and confidence scores | |
| ## Technical Details | |
| - Built with Streamlit | |
| - Uses PyTorch and Transformers | |
| - Model is cached for faster inference |