Table 9.

F1-score values of the Deep Learning algorithms obtained with different parameters.

		LR=0.001			LR=0.0001
		M-1	M-2	M-3	M-1	M-2	M-3
All	RNN	0.59	0.58	0.56	0.58	0.57	0.57
	GRU	0.79	0.79	0.79	0.68	0.7	0.72
	LSTM	0.8	0.8	0.8	0.76	0.77	0.76
Topic-1	RNN	0.57	0.57	0.57	0.57	0.56	0.56
	GRU	0.83	0.83	0.81	0.42	0.44	0.39
	LSTM	0.82	0.83	0.81	0.7	0.78	0.79
Topic-2	RNN	0.57	0.57	0.56	0.56	0.56	0.57
	GRU	0.81	0.83	0.81	0.42	0.42	0.38
	LSTM	0.8	0.8	0.82	0.73	0.76	0.80
Topic-3	RNN	0.57	0.57	0.56	0.57	0.55	0.55
	GRU	0.79	0.82	0.81	0.4	0.41	0.41
	LSTM	0.81	0.81	0.81	0.73	0.76	0.8