Table 1.

The detailed model structure of the proposed approach

Step	Operation	Output dimension
Input Layer	One-hot encoding	300x5
Convolutional Layer 1	Conv1D(32,7)	300 x 32
	Activation(ReLU)	300x32
	Dropout(0.2)	300x32
	Max-pooling1	150 x 32
Convolutional Layer 2	Conv1D(8,4)	147 x 8
	Activation(ReLU)	147 x 8
	Dropout(0.2)	147 x 8
	Max-pooling1	73 x 8
Convolutional Layer 3	Conv1D(8,3)	71 x 8
	Activation(ReLU)	71 x 8
	Dropout(0.2)	71 x 8
	Max-pooling1	35 x 8
Flatten step	Flatten	280 x 1
Dense Layer1	Dense(32)	32 x 1
	Activation(ReLU)	32 x 1
	Dropout(0.2)	32 x 1
Dense Layer2	Dense(2)	32 x1
	Activation(Softmax)	2x1
Output Layer	Classification	Probabilities