Research Article
[Retracted] Emotion Analysis of Literary Works Based on Attentional Mechanisms and the Fusion of Two-Channel Features
Table 5
t-test among four models.
| Models | BASELINE | PWCNN | PW2CNN | PW2CNN and BiLSTMatt |
| PWCNN | 0.1339 | 0.3458 | 0.3141 | 0.4123 | PW2CNN | 0.2128 | 0.36937 | 0.2821 | 0.3896 | PW2CNN and BiLSTMatt | 0.28009 | 0.3596 | 0.2431 | 0.4012 |
|
|