Create README.md
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README.md
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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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pipeline_tag: text-classification
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widget:
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- text: "You wont believe what happened to me today"
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- text: "You wont believe what happened to me today!"
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- text: "You wont believe what happened to me today..."
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- text: "You wont believe what happened to me today <3"
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- text: "You wont believe what happened to me today :)"
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- text: "You wont believe what happened to me today :("
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---
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This is an emotion classification model based on finetuning of a Berince model (describe) on self-labeled emotion dataset (Lykousas et al., 2019) in English that corresponds to Anger, Fear, Sadness, Joy, and Affection.
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See the paper, [LEIA: Linguistic Embeddings for the Identification of Affect](https://arxiv.org/abs/2304.10973) for further details.
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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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```
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