Table 4.

Hyperparameter setting used for BiGRU model.

Parameter name	Value	Description
Max features	20,000	Vocabulary size of the embedding layer.
Embedding dim	300	Embedding dimension.
Dropout	0.2	Dropout rate
Number of cells	80	Number of GRU cells in the BiGRU layer.
Activation function	Relu	Activation function of the convolution layer
Dense	2	Number of neurons in the output layer.
Loss function	Categorical cross entropy	Loss function of the output layer.
Optimizer	Adam	Optimization algorithm of the model.