README.md

metadata

title: Restaurant Review Sentiment Analyzer
emoji: 🍽️
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.44.0
app_file: app.py
pinned: false
license: mit
tags:
  - sentiment-analysis
  - nlp
  - machine-learning
  - restaurant-reviews
  - text-classification

🍽️ Restaurant Review Sentiment Analyzer

An AI-powered sentiment analysis application that classifies restaurant reviews as positive or negative in real-time using machine learning.

🎯 How to Use

1. Enter a restaurant review in the text box
2. Click "Analyze Sentiment"
3. View the results:
   • Predicted sentiment (Positive 😊 or Negative 😞)
   • Confidence score
   • Probability breakdown
   • Preprocessed text details

💡 Try These Examples

Positive Reviews:

• "The food was absolutely amazing! Best restaurant I've ever been to!"
• "Outstanding experience! Staff was friendly and attentive."
• "Fantastic! Every dish was cooked to perfection."

Negative Reviews:

• "Terrible service and the food was cold. Never coming back."
• "Worst meal I've ever had. Complete waste of money."
• "Not impressed at all. Very disappointing experience."

📊 Model Details

• Accuracy: 85.2%
• Algorithm: Random Forest Classifier
• Features: TF-IDF vectorization (1500 features, bigrams) + statistical text features
• Training Data: 1000 restaurant reviews

🛠️ Technologies

• Python - Programming language
• Scikit-learn - Machine learning framework
• NLTK - Natural language processing
• Gradio - Web interface
• Pandas & NumPy - Data processing

📚 Full Project

Want to see the complete code, training process, and analysis?

📓 GitHub Repository: View Full Project

The repository includes:

• Complete Jupyter notebook with all experiments
• Model training and evaluation code
• Dataset and visualizations
• Comprehensive documentation

👨‍💻 Author

Einstein Ellandala

• Project: ML-06-BML11
• LinkedIn | GitHub

📄 License

MIT License - Feel free to use and modify!

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💬 Feedback? Found a bug or have a suggestion? Open an issue on GitHub!