Table 3 Experimental results for CECKP model and comparison models.

Model	Classification	Accuracy	Precision	Recall	F1 Score
SVM	False	0.7082	0.7052	0.7153	0.7102
SVM	True	0.7082	0.7119	0.7010	0.7061
CNN	False	0.8280	0.8222	0.8370	0.8295
CNN	True	0.8280	0.8340	0.8190	0.8264
R-CNN	False	0.8452	0.8348	0.8607	0.8475
R-CNN	True	0.8452	0.8562	0.8297	0.8427
H-BLSTM	False	0.8475	0.8428	0.8543	0.8485
H-BLSTM	True	0.8475	0.8523	0.8407	0.8465
Att- BiLSTM	False	0.8607	0.8585	0.8637	0.8611
Att- BiLSTM	True	0.8607	0.8628	0.8577	0.8602
CECKP	False	0.8988	0.8966	0.9017	0.8991
CECKP	True	0.8988	0.9011	0.8960	0.8985

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