Topic Modeling on DBLP
0.133NPMIS2WTM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| S2WTMTopic count (K)=4, Median over 5 runs=true2025.07 | 0.133 | 0.558 | |
| C-Top2VecAggregation=mean (std) over three topic settings2026.03 | 0.1328 | 0.3185 | |
| PRISMAggregation=mean (std) over three topic settings2026.03 | 0.0751 | 0.4643 | |
| MALLETAggregation=mean (std) over three topic settings2026.03 | 0.0467 | 0.4329 | |
| ETMAggregation=mean (std) over three topic settings2026.03 | 0.0389 | 0.2828 | |
| LDAAggregation=mean (std) over three topic settings2026.03 | 0.0273 | 0.3647 | |
| NeuralLDAAggregation=mean (std) over three topic settings2026.03 | 0.0207 | 0.3833 | |
| NMFTopic count (K)=4, Median over 5 runs=true2025.07 | 0.016 | 0.354 | |
| LDATopic count (K)=4, Median over 5 runs=true2025.07 | 0.015 | 0.348 | |
| NMFAggregation=mean (std) over three topic settings2026.03 | 0.0102 | 0.3663 | |
| LSITopic count (K)=4, Median over 5 runs=true2025.07 | 0.009 | 0.334 | |
| ProdLDAAggregation=mean (std) over three topic settings2026.03 | 0.0072 | 0.4733 | |
| BERTopicAggregation=mean (std) over three topic settings2026.03 | 0.0039 | 0.3862 | |
| FASTopicAggregation=mean (std) over three topic settings2026.03 | 0.0012 | 0.3239 | |
| vONTTopic count (K)=4, Median over 5 runs=true2025.07 | -0.043 | 0.204 | |
| WTMTopic count (K)=4, Median over 5 runs=true2025.07 | -0.044 | 0.202 | |
| ETMTopic count (K)=4, Median over 5 runs=true2025.07 | -0.059 | 0.16 | |
| ZeroshotTMTopic count (K)=4, Median over 5 runs=true2025.07 | -0.062 | 0.474 | |
| ProdLDATopic count (K)=4, Median over 5 runs=true2025.07 | -0.065 | 0.472 | |
| CombinedTMTopic count (K)=4, Median over 5 runs=true2025.07 | -0.065 | 0.485 | |
| ECRTMTopic count (K)=4, Median over 5 runs=true2025.07 | -0.248 | 0.377 | |
| DVAE-RSVI-TMTopic count (K)=4, Median over 5 runs=true2025.07 | -0.269 | 0.356 | |
| DVAE-TMTopic count (K)=4, Median over 5 runs=true2025.07 | -0.271 | 0.373 |