Table 8.

Performance measures (in percentage) for different tweet sentiment classification models.

Performance measures	SVM	SGD	RF	LR	MNB
Classification accuracy	70.56	69.91	69.76	69.16	65.39
Sensitivity (recall)	69.23	69.38	69.32	68.61	64.91
F1-score	70.23	69.87	69.62	69.17	65.48
Precision	72.99	70.78	70.28	70.16	66.55