README.md

---
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)