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@@ -3,8 +3,7 @@ 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.
@@ -17,7 +16,9 @@ Please cite the following paper if you find the model useful for your work:
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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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  ```
 
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  language:
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  - en
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  library_name: transformers
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+
 
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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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  @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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  ```