| --- |
| license: mit |
| language: |
| - en |
| library_name: transformers |
| widget: |
| - text: "--" |
| --- |
| This is a BERTweet-base model that has been further pre-trained with preferential masking of emotion words for 100k steps on about 6.3M Vent posts. |
|
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| This model is meant to be fine-tuned on labeled data or used as feature extractor for downstream tasks. |
|
|
| ## 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} |
| } |
| ``` |
