Stress Detection on SMM4H Task 8 Twitter Stress Detection 2022 (test)
87RecallKocaman et al.
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Kocaman et al.2025.12 | 87 | 76 | |
| Huang et al.Description=Best system2025.12 | 85 | 79 | |
| MentalRoBERTaModel Type=Domain-Specific language models2025.12 | 85 | 81 | |
| StressRoBERTaApproach=Proposed Approach (Cross-Condition Transfer)2025.12 | 84 | 82 | |
| RoBERTa-baseModel Type=General language models2025.12 | 83 | 81 | |
| Fu et al.2025.12 | 82 | 78 | |
| BioBERT-baseModel Type=Domain-Specific language models2025.12 | 77 | 80 | |
| MentalBERTModel Type=Domain-Specific language models2025.12 | 77 | 81 | |
| Zhuang and Zhang2025.12 | 76 | 78 | |
| Median of all submissions2025.12 | 76 | 75 | |
| BERT-base-uncasedModel Type=General language models2025.12 | 75 | 80 | |
| ClinicalBERTModel Type=Domain-Specific language models2025.12 | 64 | 75 |