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} }