Sarcasm Detection on Twitter (test)
98.3AccuracyOur Model
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Our ModelSentiment Encoder=RoBERTa2025.03 | 98.3 | 98.6 | 98.4 | |
| Our ModelSentiment Encoder=SBERT2025.03 | 98 | 97.3 | 98.7 | |
| GRU-Attention2025.03 | 97.9 | 99.6 | 98.7 | |
| MULE2025.03 | 93.5 | 94.1 | 93.8 | |
| A2Text-Net2025.03 | 91.3 | 91 | 90 | |
| Fracking Sarcasm2025.03 | 89.2 | 87.9 | 88.1 | |
| BERT-GCN2025.03 | 88.3 | 87.1 | 87.3 | |
| ELMo-BiLSTMModel Variant=FULL2025.03 | 77.4 | 73.5 | 75.3 | |
| ELMo-BiLSTM2025.03 | 76.2 | 75 | 75.9 | |
| ELMo-BiLSTMData Augmentation=AUG2025.03 | 68.6 | 70.8 | 69.4 | |
| GRNN2025.03 | 66.4 | 64.7 | 65.4 |