Tweet and Label ( pos for Positive, neg for Negative, and neu for Neutral)
| Dataset\Label | Positive | Negative | Neutral | Total |
|---|---|---|---|---|
| COVIDSenti-A | 1,968 | 5,083 | 22,949 | 30,000 |
| COVIDSenti-B | 2,033 | 5,471 | 22,496 | 30,000 |
| COVIDSenti-C | 2,279 | 5,781 | 21,940 | 30,000 |
| COVIDSenti | 6,280 | 16,335 | 67,835 | 90,000 |
If you use this dataset in your work please cite:
@article{naseem2021covidsenti,
title={COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis},
author={Naseem, Usman and Razzak, Imran and Khushi, Matloob and Eklund, Peter W and Kim, Jinman},
journal={IEEE Transactions on Computational Social Systems},
year={2021},
publisher={IEEE}
}