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

Table 2

Parameter setting of CNN.

Convolutional layer	Number of convolution kernels	Convolution kernel size	Activation functions
Conv1	32	4 ∗ 4	ReLu function
Conv2	16	4 ∗ 4	ReLu function
Pooling layer	Pooling methods	Pooling kernel size	Dropout function
Pool1	Maximum pooling	2 ∗ 2	0.25