Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
sentiment-classification
Languages:
English
Size:
10K<n<100K
ArXiv:
License:
## ReactionGIF | |
> From https://github.com/bshmueli/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](https://arxiv.org/abs/2105.09967) | |
## Citation | |
If you use our dataset, kindly cite the paper using the following BibTex entry: | |
```bibtex | |
@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} | |
} | |
``` | |