Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
sentiment-classification
Languages:
English
Size:
10K<n<100K
ArXiv:
License:
ReactionGIF
Excerpt from original repo readme
ReactionGIF is a unique, first-of-its-kind dataset of 30K sarcastic tweets and their GIF reactions.
To find out more about ReactionGIF, check out our ACL 2021 paper:
- Shmueli, Ray and Ku, Happy Dance, Slow Clap: Using Reaction GIFs to Predict Induced Affect on Twitter
Citation
If you use our dataset, kindly cite the paper using the following BibTex entry:
@misc{shmueli2021happy,
title={Happy Dance, Slow Clap: Using Reaction {GIFs} to Predict Induced Affect on {Twitter}},
author={Boaz Shmueli and Soumya Ray and Lun-Wei Ku},
year={2021},
eprint={2105.09967},
archivePrefix={arXiv},
primaryClass={cs.CL}
}