Table 8.

Machine learning classifiers applied on modified labeled data.

Traditional Features
Techniques	TF-IDF		Uni-Gram		Bi-Gram		Uni–Bi-Gram		Uni–Bi–Tri-Gram
	Accuracy	F1-Score	Accuracy	F1-Score	Accuracy	F1-Score	Accuracy	F1-Score	Accuracy	F1-Score
KNN	80.2	79.8	82.8	82.6	63.1	57.7	84.8	84.7	59.9	56.1
NB	86.9	86.7	92.6	92.5	89	88.9	90.8	90.7	90	89.8
RF	96.1	96	96.4	96.2	93.9	93.6	96.4	96.2	95.9	95.8
LR	95.3	95.2	96.5	96.3	93.5	93.3	96.9	96.7	96.6	96.5
SVM	96.4	96.3	96.6	96.5	92.7	92.6	96.8	96.7	96.5	96.4
DT	95.3	95	96	95.8	92.3	92.2	96.3	96.2	96.3	96.1
MLP	94.7	94.3	95.3	95	93.9	93.7	95.7	95.5	91.8	91.7