README.md

metadata

title: Feedback Topic Sentiment Transformer
emoji: 📊
colorFrom: blue
colorTo: green
sdk: gradio
sdk_version: 4.19.2
app_file: app.py
pinned: false

Feedback Topic & Sentiment Transformer

Transform feedback data with topic and sentiment columns into a binary matrix format.

Features

• Upload Excel, CSV, or tab-delimited files
• Configure column prefixes for topics, sentiments, and categories
• Transform topics into binary columns (0/1)
• Associate sentiment scores with each topic
• Analyze topic frequency and sentiment distribution
• Download results as Excel or CSV

Usage

1. Upload your feedback data file
2. Configure column prefixes
3. Click "Transform Data"
4. Download the transformed file

Input Format

Your file should contain:

• Topic columns (e.g., [**WORKSHOP] SwissLife Taxonomy)
• Sentiment columns (e.g., ABSA:Sentiment)
• Category columns (e.g., Categories:)
• Text column (optional)
• Recommendation column (optional)

Output Format

The transformed file includes:

• feedback_id: Unique identifier
• Topic columns: Binary values (0/1)
• Sentiment columns: Scores (1=positive, 0.5=neutral, 0=negative)
• Original text and recommendation scores (if available)