Table 9.

Real-time tweets dataset result for ML classifiers with modified labeling.

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	70.5	70.1	64.7	64.5	58.8	47.1	58.8	58.2	70.5	70.1
NB	58.8	52.9	64.7	63.5	52.9	43.3	64.7	61.3	58.8	52.9
RF	76.4	75.7	64.7	63.5	76.4	76.3	82.3	82.1	64.7	63.5
LR	82.3	82.1	70.5	70.4	64.7	63.5	70.5	70.1	82.3	82.3
SVM	70.5	70.1	70.5	70.1	70.5	70.1	76.4	76.3	76.4	76.3
DT	70.5	70.4	64.7	63.5	70.5	70.1	64.7	64.5	58.8	56.4
MLP	76.4	75.7	70.5	70.1	52.9	52.7	64.7	63.5	76.4	76.3