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title: Interactive Topic Modeler
emoji: 🧠
colorFrom: indigo
colorTo: purple
sdk: gradio
python_version: "3.10"
app_file: app.py
pinned: false
license: mit
---
# Interactive Topic Modeler
This is a premium, lightweight, interactive topic modeling tool designed specifically for computational social science and humanities courses.
## Features
- **Flexible Data Input**: Upload `.csv`, `.xlsx`, or `.txt` datasets directly. For tabular data, select any target text column for analysis.
- **Multiple Algorithms**:
- **LDA (Latent Dirichlet Allocation)**: Fast, traditional topic modeling running locally on CPU.
- **NMF (Non-Negative Matrix Factorization)**: Classic linear algebraic topic modeling.
- **BERTopic (API Mode)**: Utilizes advanced neural embeddings via Hugging Face Serverless API with your personal access token.
- **Interactive Visualizations**: View plotly bar charts displaying keywords and importance weights per topic.
- **Download Labeled Dataset**: Automatically outputs a downloadable version of the original dataset annotated with the assigned topics and document probabilities.
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