Sentiment Analysis on Semeval Task B Twitter 2017 (Out-of-domain)
83.8AccuracyCAD (Our Method)
Evaluation Results
| Method | Links | |
|---|---|---|
| CAD (Our Method)Model=BERT-base-uncased, Training Data=Orig & CAD (3.4k)2021.06 | 83.8 | |
| CAD (By Human)Model=BERT-base-uncased, Training Data=Orig & CAD (3.4k)2021.06 | 82.8 | |
| Madaan et al.Model=BERT-base-uncased, Training Data=Orig. & (Madaan et al., 2020)2021.06 | 79.3 | |
| Original BaselineModel=BERT-base-uncased, Training Data=Orig. (3.4k)2021.06 | 72.6 | |
| Sudhakar et al.Model=BERT-base-uncased, Training Data=Orig. & (Sudhakar et al., 2019)2021.06 | 72.5 | |
| CAD (Our Method)Model=SVM, Training Data=Orig & CAD (3.4k)2021.06 | 69.7 | |
| CAD (By Human)Model=SVM, Training Data=Orig & CAD (3.4k)2021.06 | 66.8 | |
| Original BaselineModel=SVM, Training Data=Orig. (3.4k)2021.06 | 63.1 | |
| Madaan et al.Model=SVM, Training Data=Orig. & (Madaan et al., 2020)2021.06 | 62.8 | |
| Sudhakar et al.Model=SVM, Training Data=Orig. & (Sudhakar et al., 2019)2021.06 | 59.4 |