Research Article
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] |
|
|