Topic Modeling on Dataset1
0.687Topic Coherence (C_V)semantic-driven topic modeling framework
Evaluation results
| Method | Links | ||
|---|---|---|---|
| semantic-driven topic modeling frameworkembeddings=Sentence-BERT, dimensionality reduction=UMAP, clustering=HDBSCAN2025.09 | 0.687 | 0.264 | |
| BERTopic2025.09 | 0.552 | 0.192 | |
| ETM2025.09 | 0.544 | 0.094 | |
| LDA2025.09 | 0.462 | 0.066 |