Topic Modeling on BBC News (cv, NPMI)
0.7124Coherence Value (CV)BERTopic
Evaluation results
| Method | Links | ||
|---|---|---|---|
| BERTopicAggregation=mean (std) over three topic settings2026.03 | 0.7124 | 0.1694 | |
| PRISMAggregation=mean (std) over three topic settings2026.03 | 0.6781 | 0.1468 | |
| FASTopicAggregation=mean (std) over three topic settings2026.03 | 0.6572 | 0.0236 | |
| ProdLDAAggregation=mean (std) over three topic settings2026.03 | 0.6427 | 0.0046 | |
| MALLETAggregation=mean (std) over three topic settings2026.03 | 0.6384 | 0.1285 | |
| NeuralLDAAggregation=mean (std) over three topic settings2026.03 | 0.572 | 0.0532 | |
| C-Top2VecAggregation=mean (std) over three topic settings2026.03 | 0.5108 | 0.575 | |
| ETMAggregation=mean (std) over three topic settings2026.03 | 0.4963 | 0.0176 | |
| LDAAggregation=mean (std) over three topic settings2026.03 | 0.4924 | 0.0409 | |
| NMFAggregation=mean (std) over three topic settings2026.03 | 0.4564 | 0.0037 |