| title: Temporal Topic Modeler | |
| emoji: ⏳ | |
| colorFrom: yellow | |
| colorTo: green | |
| sdk: gradio | |
| app_file: app.py | |
| pinned: false | |
| # Temporal Topic Modeler | |
| An interactive educational computational humanities application designed to map, track, and visualize how conceptual topics and thematic areas evolve and shift over time inside historical document corpora. | |
| ### Features | |
| 1. **Interactive Timeline Trends**: Visualize topic popularity changes across chronological years or intervals using Plotly stacked area graphs. | |
| 2. **NMF Topic Modeling**: Fit a Non-Negative Matrix Factorization (NMF) decomposition model to extract highly coherent latent topics from documents. | |
| 3. **Automatic Keyword Definition**: Inspect the top 8 terms defining each topic cluster automatically. | |
| 4. **Data Exports**: Download a comprehensive CSV mapping all documents with their detailed topic distribution weights. | |