A Hybrid Feature Extraction Method for Nepali COVID-19-Related Tweets Classification

Table 2

Summary of some recent works on sentiment classification using COVID-19-related tweets.

Methods	Dataset	Accuracy	Reference
Ensemble CNN	NepCov19Tweets	68.70	[8]
Extra tree classifier	Covid-19Tweets	93.00	[24]
Fusion-based DL	StandfordSentiment40	85.80	[6]
SVM	Self-created dataset	85.00	[7]
H-SVM	Self-created dataset	96.30	[20]
Naseem et al. [5]	COVIDSenti	92.90	[5]