Table 39.
Best results achieved for each dataset by adapting the Transformer-based models using strategies InData, LOO, and AllData
| Dataset | Accuracy | -macro | ||||
|---|---|---|---|---|---|---|
| % | Classifier | Model | % | Classifier | Model | |
| Iro | 83.33 | LR | BERTweet-LOO | 77.24 | SVM | BERTweet-LOO |
| Sar | 80.66 | MLP | RoBERTa-LOO | 79.35 | MLP | RoBERTa-LOO |
| Ntu | 93.89 | LR | BERTweet-LOO | 93.66 | LR | BERTweet-LOO |
| S15 | 94.39 | MLP | BERTweet-LOO | 87.31 | MLP | BERTweet-LOO |
| Stm | 92.75 | SVM | BERTweet-LOO | 92.73 | SVM | BERTweet-LOO |
| Per | 88.52 | MLP | BERTweet-LOO | 86.14 | LR | BERTweet-LOO |
| Hob | 89.5 | MLP | RoBERTa-InData | 88.0 | MLP | RoBERTa-InData |
| Iph | 87.8 | LR | BERTweet-InData | 85.8 | LR | BERTweet-AllData |
| Mov | 91.1 | LR | BERTweet-AllData | 85.4 | LR | BERTweet-AllData |
| San | 91.6 | LR | BERTweet-AllData | 91.5 | LR | BERTweet-AllData |
| Nar | 97.0 | SVM | BERTweet-AllData | 96.8 | MLP | BERTweet-AllData |
| Arc | 92.1 | MLP | BERTweet-AllData | 91.9 | MLP | BERTweet-AllData |
| S18 | 90.9 | SVM | BERTweet-AllData | 90.8 | SVM | BERTweet-AllData |
| OMD | 89.77 | SVM | BERTweet-LOO | 88.99 | SVM | BERTweet-LOO |
| HCR | 82.21 | XGB | BERTweet-LOO | 77.9 | SVM | BERTweet-AllData |
| STS | 95.2 | SVM | BERTweet-AllData | 94.5 | SVM | BERTweet-AllData |
| SSt | 89.1 | SVM | BERTweet-AllData | 88.9 | SVM | BERTweet-AllData |
| Tar | 87.7 | SVM | BERTweet-AllData | 87.7 | SVM | BERTweet-AllData |
| Vad | 93.14 | LR | BERTweet-LOO | 92.05 | LR | BERTweet-LOO |
| S13 | 90.4 | LR | BERTweet-InData | 88.3 | LR | BERTweet-InData |
| S17 | 93.6 | SVM | BERTweet-AllData | 93.17 | SVM | BERTweet-LOO |
| S16 | 91.8 | SVM | BERTweet-AllData | 90.1 | SVM | BERTweet-AllData |