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Advances, Systems and Applications

Table 5 Parameters used in the model

From: MBi-GRUMCONV: A novel Multi Bi-GRU and Multi CNN-Based deep learning model for social media sentiment analysis

Parameters

Values

Batch Size

32,64,128,256,512,1024

Epoch

5,10,20,30,40

Activation Function

ReLu, sigmoid, tanh

Optimizer

Adam, RMSprop, SGD

Number of units and Number of Conv filters

64,100,128,200,300

Kernel

2,3,4,5,6,7

Dropout

0.3, 0.4, 0.5, 0.6, 0.7, 0.8