Table 8.

Results of Wilcoxon signed-rank paired sampled test between the presented TextConvoNet_6, TextConvoNet_4, and other techniques/models (* showing the groups with the statistically significant difference)

	Comparison Group	P-value	Effect r	Comparison Group	P-value	Effect r
TextConvoNet_6 (Two-tailed) Vs.	TextConvoNet_4	3.36E-05*	0.463	TextConvoNet_4 (Two-tailed) Vs.	Yoonkim	0.00017*	0.419
	Yoonkim	1.63E-07*	0.585		LSTM	3.36E-05*	0.463
	LSTM	4.66E-08*	0.61		VDCNN	6.75E-07*	0.55
	VDCNN	2.77E-07*	0.574		CLSTM	1.83E-05*	0.479
	CLSTM	5.47E-08*	0.607		MNB	0.00039*	0.395
	MNB	1.72E-06*	0.534		RF	4.66E-08*	0.61
	RF	6.40E-08*	0.604		DT	6.50E-09*	0.648
	DT	6.50E-09*	0.648		SVC	1.22E-05*	0.489
	SVC	1.76E-07	0.83		GBC	1.29E-07*	0.59
	GBC	1.76E-07*	0.583		KNN	9.89E-09*	0.64
	KNN	1.07E-08*	0.639		XGBoost	5.82E-05*	0.449
	XGBoost	1.20E-07	0.591		BiLSTM + Attention	8.79E-05*	0.438
	BiLSTM + Attention	1.29E-08*	0.635		BERT	1.37E-08*	0.634
	BERT	1.37E-08	0.634		HAN	1.50E-07*	0.587
	HAN	1.16E-08*	0.638		BerConvoNet	0.055	0.178
	BerConvoNet	0.00011*	0.412		CNN-BiLSTM	0.070	0.164
	CNN-BiLSTM	1.05E-06*	0.53		TLGNN	4.66E-09*	0.64
	TLGNN	4.66E-09*	0.642		SeqGNN	1.73E-05*	0.462
	SeqGNN	3.8E-06*	0.50

*MNB= Multinomial Naïve Bayes, RF= Random Forest, DT= Decision Tree, SVC= Support Vector Classifier, GBC= Gradient Boosting Classifier