[Retracted] Emotion Analysis of Literary Works Based on Attentional Mechanisms and the Fusion of Two-Channel Features

Table 4

Accuracy of different experimental models.

Type of experiment	Accuracy rate (%)
	BASELINE model	PWCNN model	PW2CNN model	PW2CNN & BiLSTMatt model
1	0.942	0.944	0.950	0.964
2	0.944	0.944	0.951	0.963
3	0.946	0.941	0.952	0.962
4	0.943	0.952	0.945	0.961
5	0.943	0.942	0.956	0.963
6	0.940	0.947	0.951	0.962
7	0.946	0.951	0.949	0.960
8	0.942	0.953	0.945	0.957
9	0.944	0.948	0.952	0.965
10	0.945	0.950	0.946	0.960