Table 7. Experiment results of Word2Vec embedding model with deep learning algorithms for independent dataset.

The best accuracy percentages are represented in bold letters.

MODELS	ACC	SEN	SPE	MCC	AUC
WS+CNN	57.81	55.29	60.33	14.17	57.98
WC+CNN	84.25	80.10	68.36	52.47	83.05
WS+LSTM	88.75	89.25	88.31	77.48	93.65
WC+LSTM	86.51	82.62	90.74	72.83	91.25
WS+BiLSTM	89.06	88.88	89.37	77.65	94.05
WC+BiLSTM	92.31	93.79	91.52	84.62	96.55