Covid19-twitter: A Twitter-based Dataset for Discourse Analysis in Sentence-level Sentiment Classification.
Shashank Gupta|Mohamed Reda Bouadjenek|Antonio Robles-Kelly|Tsz-Kwan Lee|Thanh Thi Nguyen|Asef Nazari|Dhananjay R. Thiruvady
| Anthology ID: | DBLP:conf/cikm/GuptaBRL0NT24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 5370-5374 |
| URL: | https://doi.org/10.1145/3627673.3679120 |
| DOI: | https://doi.org/10.1145/3627673.3679120 |
| DBLP: | conf/cikm/GuptaBRL0NT24 |
| BibTeX: |
@inproceedings{gupta-2024-covid19twitter,
author = {Shashank Gupta and
Mohamed Reda Bouadjenek and
Antonio Robles-Kelly and
Tsz-Kwan Lee and
Thanh Thi Nguyen and
Asef Nazari and
Dhananjay R. Thiruvady},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Covid19-twitter: A Twitter-based Dataset for Discourse Analysis in Sentence-level Sentiment Classification}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {5370--5374},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679120},
doi = {https://doi.org/10.1145/3627673.3679120}
}