Cross-lingual Topic Modeling on Amazon Review
0.072CNPMIXTRA + LLM-XTM
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| XTRA + LLM-XTMIntegrated Enhancement=LLM-XTM2026.05 | 0.072 | 0.959 | 0.069 | |
| NMTM + LLM-XTMIntegrated Enhancement=LLM-XTM2026.05 | 0.056 | 0.627 | 0.035 | |
| u-SVD2026.05 | 0.055 | 0.634 | 0.035 | |
| SVD-LR2026.05 | 0.053 | 0.627 | 0.033 | |
| XTRA2026.05 | 0.053 | 0.979 | 0.052 | |
| InfoCTM + LLM-XTMIntegrated Enhancement=LLM-XTM2026.05 | 0.05 | 0.933 | 0.047 | |
| NMTM2026.05 | 0.043 | 0.61 | 0.026 | |
| InfoCTM2026.05 | 0.037 | 0.93 | 0.034 | |
| MCTA2026.05 | 0.028 | 0.319 | 0.009 | |
| MTAnchor2026.05 | 0.028 | 0.323 | 0.009 |