Topic Modeling on M10
0.2065NPMIFASTopic
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FASTopicAggregation=mean (std) over three topic settings2026.03 | 0.2065 | 0.4473 | |
| NeuralLDAAggregation=mean (std) over three topic settings2026.03 | 0.195 | 0.4179 | |
| C-Top2VecAggregation=mean (std) over three topic settings2026.03 | 0.1675 | 0.3543 | |
| LDAAggregation=mean (std) over three topic settings2026.03 | 0.1602 | 0.3833 | |
| BERTopicAggregation=mean (std) over three topic settings2026.03 | 0.131 | 0.403 | |
| ETMAggregation=mean (std) over three topic settings2026.03 | 0.1255 | 0.3659 | |
| S2WTMTopic count (K)=10, Median over 5 runs=true2025.07 | 0.101 | 0.492 | |
| ProdLDAAggregation=mean (std) over three topic settings2026.03 | 0.0951 | 0.4218 | |
| NMFAggregation=mean (std) over three topic settings2026.03 | 0.0943 | 0.3536 | |
| PRISMAggregation=mean (std) over three topic settings2026.03 | 0.0822 | 0.5285 | |
| MALLETAggregation=mean (std) over three topic settings2026.03 | 0.0671 | 0.4571 | |
| CombinedTMTopic count (K)=10, Median over 5 runs=true2025.07 | 0.059 | 0.49 | |
| NMFTopic count (K)=10, Median over 5 runs=true2025.07 | 0.05 | 0.448 | |
| ZeroshotTMTopic count (K)=10, Median over 5 runs=true2025.07 | 0.041 | 0.481 | |
| ProdLDATopic count (K)=10, Median over 5 runs=true2025.07 | 0.027 | 0.481 | |
| ETMTopic count (K)=10, Median over 5 runs=true2025.07 | 0.018 | 0.374 | |
| LSITopic count (K)=10, Median over 5 runs=true2025.07 | 0.001 | 0.39 | |
| LDATopic count (K)=10, Median over 5 runs=true2025.07 | -0.047 | 0.369 | |
| DVAE-RSVI-TMTopic count (K)=10, Median over 5 runs=true2025.07 | -0.052 | 0.412 | |
| WTMTopic count (K)=10, Median over 5 runs=true2025.07 | -0.052 | 0.298 | |
| vONTTopic count (K)=10, Median over 5 runs=true2025.07 | -0.053 | 0.301 | |
| DVAE-TMTopic count (K)=10, Median over 5 runs=true2025.07 | -0.054 | 0.381 | |
| ECRTMTopic count (K)=10, Median over 5 runs=true2025.07 | -0.445 | 0.516 |