Short Text Clustering on Tweet
92.1AccuracyCLUSTERFUSION
Evaluation results
| Method | Links | ||
|---|---|---|---|
| CLUSTERFUSIONBackbone=GPT-4o, Assignment only setting=true2025.12 | 92.1 | 94.6 | |
| CLUSTERFUSIONBackbone=GPT-4o, Oracle order=true2025.12 | 91.3 | 94.7 | |
| HAC-SDAlgorithm=Hierarchical Agglomerative Clustering2021.03 | 89.6 | 85.2 | |
| CLUSTERFUSIONBackbone=GPT-4o, Ordering type=Cosine order2025.12 | 87.1 | 91.4 | |
| CLUSTERFUSIONBackbone=GPT-4o, Ordering type=KMeans order2025.12 | 84.2 | 90.9 | |
| Init. clust.2021.01 | 78.2 | — | |
| SCCLAveraging=Average over five random runs2021.03 | 78.2 | 89.2 | |
| SCCL2025.12 | 78.2 | 89.2 | |
| RSTC-Ccontrastive learning=class-wise, pseudo-labels=SAOT2023.05 | 76.62 | 85.61 | |
| RSTC2023.05 | 75.2 | 87.35 | |
| SCCL2023.05 | 73.1 | 86.66 | |
| CLUSTERFUSIONBackbone=GPT-4o, Ordering type=Unsorted2025.12 | 71.6 | 86.1 | |
| LLM CorrectionBackbone=GPT-4o2025.12 | 67.3 | 87.5 | |
| K-means_IC2023.05 | 66.54 | 84.84 | |
| ClusterLLMBackbone=GPT-4o2025.12 | 66.3 | 88.1 | |
| PCKMeans2025.12 | 63.8 | 86.7 | |
| Keyphrase Clust. (w/ Agglom.)Backbone=GPT-4o2025.12 | 61.8 | 84 | |
| Keyphrase Clust. (w/ KMeans)Backbone=GPT-4o2025.12 | 61.2 | 83.6 | |
| RSTC-Icontrastive learning=instance-wise, clustering=k-means2023.05 | 61.12 | 84.53 | |
| KMeans2025.12 | 59.1 | 80.6 | |
| Agglomerative2025.12 | 57.5 | 80.6 | |
| TF-IDFFeature dimension=1500, Algorithm=K-means2021.03 | 57 | 80.7 | |
| RSTC-OTpseudo-labels=traditional OT2023.05 | 56.84 | 79.16 | |
| TF-IDF2023.05 | 54.34 | 78.47 | |
| SBERT(k-means)2023.05 | 53.44 | 78.99 | |
| DSE (w/ KMeans)2025.12 | 50.8 | 78.4 | |
| BOW2023.05 | 50.25 | 72 | |
| BoWFeature dimension=1500, Algorithm=K-means2021.03 | 49.7 | 73.6 | |
| HAC2021.01 | — | 91.28 |