Datasets:
Tasks:
Text Classification
Modalities:
Text
Sub-tasks:
sentiment-classification
Languages:
English
Size:
10K<n<100K
ArXiv:
License:
File size: 1,211 Bytes
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---
annotations_creators:
- crowdsourced
language_creators:
- crowdsourced
language:
- en
license:
- unknown
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- text-classification
task_ids:
- sentiment-classification
paperswithcode_id: reactiongif
---
## 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}
}
```
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