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

Table 3

F1 values for different experimental models.

Type of experiment	F1 value (%)
	BASELINE model	PWCNN model	PW2CNN model	PW2CNN & BiLSTMatt model
1	0.942	0.946	0.957	0.960
2	0.944	0.944	0.959	0.963
3	0.948	0.945	0.952	0.954
4	0.945	0.952	0.949	0.961
5	0.947	0.946	0.960	0.963
6	0.940	0.947	0.940	0.963
7	0.946	0.951	0.943	0.950
8	0.942	0.953	0.945	0.955
9	0.944	0.952	0.943	0.957
10	0.945	0.950	0.944	0.959