Research Article
Interactive Dual Attention Network for Text Sentiment Classification
Table 4
Results for the ablation experiments.
| Approach | ChnSentiCorp | NLPCC-CN | NLPCC-EN | MR | Accuracy | Macro-F1 | Accuracy | Macro-F1 | Accuracy | Macro-F1 | Accuracy | Macro-F1 |
| IDAN-W2V | 0.9145 | 0.9078 | 0.7667 | 0.7657 | 0.8621 | 0.8515 | 0.7986 | 0.7870 | IDAN-NIL | 0.9262 | 0.9141 | 0.8002 | 0.7866 | 0.9155 | 0.9069 | 0.8214 | 0.8100 | IDAN-NSTI | 0.9233 | 0.9099 | 0.8045 | 0.7911 | 0.9128 | 0.9062 | 0.8225 | 0.8134 | IDAN-NGA | 0.9184 | 0.9133 | 0.8067 | 0.7920 | 0.9164 | 0.9068 | 0.8254 | 0.8130 | IDAN | 0.9297 | 0.9293 | 0.8005 | 0.7875 | 0.9181 | 0.9145 | 0.8266 | 0.8135 |
|
|
Bold values indicate the best performances.
|