Method	Class	Precision	Recall	F1-Score	Accuracy
Decision Tree	Negative	0.88	0.95	0.91	0.90
Decision Tree	Positive	0.94	0.85	0.89	0.90
SVC	Negative	0.77	0.49	0.60	0.65
SVC	Positive	0.60	0.83	0.69	0.65
Random Forest	Negative	0.86	0.94	0.90	0.89
Random Forest	Positive	0.92	0.82	0.87	0.89
Multinomial Naïve Bayes	Negative	0.62	0.03	0.05	0.48
Multinomial Naïve Bayes	Positive	0.47	0.98	0.64	0.48
LSTM (LR = 0.001)	Negative	0.97	0.95	0.96	0.9599
LSTM (LR = 0.001)	Positive	0.95	0.97	0.96	0.9599
BiLSTM (LR = 0.001)	Negative	0.96	0.95	0.96	0.9573
BiLSTM (LR = 0.001)	Positive	0.95	0.96	0.96	0.9573
GRU (LR = 0.001)	Negative	0.97	0.96	0.97	0.9563
GRU (LR = 0.001)	Positive	0.96	0.97	0.96	0.9563
BiGRU (LR = 0.001)	Negative	0.96	0.95	0.96	0.9553
BiGRU (LR = 0.001)	Positive	0.95	0.96	0.96	0.9553
CNN-LSTM (LR = 0.001)	Negative	0.97	0.96	0.97	0.9679
CNN-LSTM (LR = 0.001)	Positive	0.96	0.97	0.97	0.9679
Attention-LSTM (LR = 0.01)	Negative	0.97	0.97	0.97	0.9706
Attention-LSTM (LR = 0.01)	Positive	0.97	0.97	0.97	0.9706