---
license: mit
language:
- en
library_name: transformers
pipeline_tag: text-classification
widget:
- text: "You wont believe what happened to me today"
- text: "You wont believe what happened to me today!"
- text: "You wont believe what happened to me today..."
- text: "You wont believe what happened to me today <3"
- text: "You wont believe what happened to me today :)"
- text: "You wont believe what happened to me today :("
---
This is an emotion classification model based on further pre-training of BERTweet-large with preferential masking of emotion words and fine-tuning on a subset of a self-labeled emotion dataset (Lykousas et al., 2019) that corresponds to Anger, Fear, Sadness, Joy, and Affection. The paper, [LEIA: Linguistic Embeddings for the Identification of Affect](https://doi.org/10.1140/epjds/s13688-023-00427-0) provides further details on the model and its evauation. 

See [LEIA-base](https://huggingface.co./LEIA/LEIA-base) for a similar model based on BERTweet-base.
## Citation
Please cite the following paper if you find the model useful for your work:
```bibtex
@article{aroyehun2023leia,
  title={LEIA: Linguistic Embeddings for the Identification of Affect},
  author={Aroyehun, Segun Taofeek and Malik, Lukas and Metzler, Hannah and Haimerl, Nikolas and Di Natale, Anna and Garcia, David},
  journal={EPJ Data Science},
  volume={12},
  year={2023},
  publisher={Springer}
}
```