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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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  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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+
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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={arXiv preprint arXiv:2304.10973},
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+ year={2023}
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+ }
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+ ```