---
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*