Journal of Cloud Computing

Advances, Systems and Applications

Table 5 Hyperparameters settings for implementing the deep learning models

From: Stacked-CNN-BiLSTM-COVID: an effective stacked ensemble deep learning framework for sentiment analysis of Arabic COVID-19 tweets

Parameter	Value
Pool Size	2
Kernal Size	3
Filter	300
Learning Rate	0.0001
Optimizer	Adam
Loss Function	categorical crossentropy
Output Activation	Softmax
Batch Size	128
Number of epochs	15
Dropout rate	0.5
Recurrent dropout rate	0.5
Kernel Regularizer	L2 (0.001)

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