Table 3.

Tweet counts after applying data augmentation techniques.

mHealth App	Tweet Sentiment			Total (%)
	Positive (%)	Neutral (%)	Negative (%)
Sehha	56 (56.6%)	27 (27.3%)	16 (16.2%)	99 (2.1%)
Mawid	66 (31.0%)	87 (40.8%)	60 (28.2%)	213 (4.5%)
Sehhaty	154 (31.8%)	192 (39.7%)	138 (28.5%)	484 (10.3%)
Tetamman	69 (23.5%)	141 (48.0%)	84 (28.6%)	294 (6.2%)
Tawakkalna	523 (21.7%)	1314 (54.6%)	571 (23.7%)	2408 (51.0%)
Tabaud	385 (31.5%)	704 (57.7%)	132 (10.8%)	1221 (25.9%)
Total	1253 (26.6%)	2465 (52.2%)	1001 (21.2%)	4719 (100.0%)