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title: ABSA
app_file: app_spaces.py
sdk: gradio
sdk_version: 5.9.1
---
# 🍽️ Restaurant Review Analyzer
A Gradio-powered web interface for analyzing restaurant reviews using **Aspect-Based Sentiment Analysis (ABSA)**. This application identifies specific aspects (like food, service, atmosphere) mentioned in reviews and determines the sentiment associated with each aspect.
## 🎯 How It Works
The application uses two fine-tuned DistilBERT models:
1. **Aspect Extraction**: Identifies aspects mentioned in reviews (e.g., "food", "service", "atmosphere")
2. **Sentiment Classification**: Determines sentiment (positive/negative) for each aspect
## 🚀 Try It Out!
Simply enter a restaurant review in the text box and click "Analyze Sentiment" to see:
- **Identified Aspects**: What specific elements are mentioned
- **Sentiment Analysis**: Whether each aspect is viewed positively or negatively
- **Confidence Scores**: How certain the model is about each prediction
## 📊 Example
**Input**: "The services here is wonderful, but I hate the food. However, I still love the atmosphere here."
**Output**:
- **service** → POSITIVE (0.952)
- **food** → NEGATIVE (0.887)
- **atmosphere** → POSITIVE (0.934)
## 🔧 Models
- **Aspect Extraction**: [sdf299/abte-restaurants-distilbert-base-uncased](https://huggingface.co/sdf299/abte-restaurants-distilbert-base-uncased)
- **Sentiment Classification**: [sdf299/absa-restaurants-distilbert-base-uncased](https://huggingface.co/sdf299/absa-restaurants-distilbert-base-uncased)
## 💡 Use Cases
Perfect for:
- Restaurant owners analyzing customer feedback
- Review aggregation platforms
- Market research on dining experiences
- Academic research in sentiment analysis
- Understanding customer opinions at scale
---
*Built with 🤗 Transformers and Gradio* |