Table 9.
Classifier evaluation and comparison using combined emotion data.
| Model | F1-Micro | F1-Macro | Jaccard | Accuracy |
|---|---|---|---|---|
| SVM-Unigrams | 0.5532 | 0.4849 | 0.5185 | 0.8227 |
| NTUA-SLP | 0.7058 | 0.5829 | 0.6293 | 0.8746 |
| BiLSTM(Our) | 0.6893 | 0.6342 | 0.6475 | 0.8951 |
Classifier evaluation and comparison using combined emotion data.
| Model | F1-Micro | F1-Macro | Jaccard | Accuracy |
|---|---|---|---|---|
| SVM-Unigrams | 0.5532 | 0.4849 | 0.5185 | 0.8227 |
| NTUA-SLP | 0.7058 | 0.5829 | 0.6293 | 0.8746 |
| BiLSTM(Our) | 0.6893 | 0.6342 | 0.6475 | 0.8951 |