Research Article
Deep Learning-Based Methods for Sentiment Analysis on Nepali COVID-19-Related Tweets
Table 6
Comparison of our methods based on overall classification accuracy (%) with state-of-the-art methods.
| Methods | Feature size | Accuracy |
| Shahi et al. [31] | 100-D | 62.1 | Basnet and Timalsina [32] | 300-D | 62.9 | Sitaula et al. [1] | 17-D | 59.8 | Ours (ds) | 3-D | 61.5 | Ours (da) | 17-D | 59.5 | Ours (ft) | 300-D | 68.1 | Ours (ensemble) | 320-D | 68.7 |
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Note. Each reported accuracy in the table is the averaged value over 10 runs on our NepCOV19Tweets dataset.
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