Table 6.

Results of Bag of Words (BoW), Term Frequency–Inverse Document Frequency (TF-IDF) and Chi Squared binary classification with Support Vector Machine (SVM), Multinomial Naive Bayes (MNB), k-Nearest Neighbors (kNN) and Logist Regression (LR).

	Binary Classification
	BoW			TF-IDF			${\mathrm{CHI}}^2$
	Precision	Recall	F1-score	Precision	Recall	F1-score	Precision	Recall	F1-score
SVM	0.90	0.90	0.90	0.91	0.91	0.91	0.90	0.90	0.90
MNB	0.91	0.91	0.91	0.91	0.91	0.90	0.89	0.89	0.89
kNN	0.82	0.82	0.82	0.87	0.87	0.87	0.84	0.84	0.84
LR	0.88	0.88	0.88	0.91	0.91	0.91	0.89	0.89	0.89