Research Article
Emotion Label Enhancement via Emotion Wheel and Lexicon
Table 2
Accuracy of CNN based EDL model with 4 different EDL label enhancement methods.
| Datasets | One-hot | MWLE | LLE | EWLLE |
| TEC | 0.567 ± 0.165 | 0.578 ± 0.190 | 0.592 ± 0.173 | 0.607 ± 0.169 | Fairy tales | 0.691 ± 0.227 | 0.708 ± 0.242 | 0.715 ± 0.235 | 0.733 ± 0.214 | CBET | 0.567 ± 0.182 | 0.588 ± 0.161 | 0.597 ± 0.130 | 0.603 ± 0.137 | ISEAR | 0.654 ± 0.203 | 0.669 ± 0.221 | 0.681 ± 0.197 | 0.707 ± 0.208 | Avg. | 0.620 ± 0.194 | 0.636 ± 0.204 | 0.646 ± 0.184 | 0.663 ± 0.182 |
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