README.md

metadata

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
• Sentiment Classification: 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

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Built with 🤗 Transformers and Gradio