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--- |
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license: mit |
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language: |
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- en |
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library_name: transformers |
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widget: |
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- text: "--" |
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--- |
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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. |
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## Citation |
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Please cite the following paper if you find the model useful for your work: |
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```bibtex |
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@article{aroyehun2023leia, |
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title={LEIA: Linguistic Embeddings for the Identification of Affect}, |
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author={Aroyehun, Segun Taofeek and Malik, Lukas and Metzler, Hannah and Haimerl, Nikolas and Di Natale, Anna and Garcia, David}, |
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journal={EPJ Data Science}, |
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volume={12}, |
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year={2023}, |
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publisher={Springer} |
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} |
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``` |
