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finiteautomata/beto-emotion-analysis
beto-emotion-analysis is a text classification model from finiteautomata. Use it when you need a label for a piece of text. It is set up for transformers.
Repository: https://github.com/finiteautomata/pysentimiento/
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From the Hugging Face model README
Repository: https://github.com/finiteautomata/pysentimiento/
Model trained with TASS 2020 Task 2 corpus for Emotion detection in Spanish. Base model is BETO, a BERT model trained in Spanish.
pysentimiento is an open-source library for non-commercial use and scientific research purposes only. Please be aware that models are trained with third-party datasets and are subject to their respective licenses.
If you use pysentimiento in your work, please cite this paper
@misc{perez2021pysentimiento,
title={pysentimiento: A Python Toolkit for Sentiment Analysis and SocialNLP tasks},
author={Juan Manuel Pérez and Juan Carlos Giudici and Franco Luque},
year={2021},
eprint={2106.09462},
archivePrefix={arXiv},
primaryClass={cs.CL}
}
and also the dataset related paper
@inproceedings{del2020emoevent,
title={EmoEvent: A multilingual emotion corpus based on different events},
author={del Arco, Flor Miriam Plaza and Strapparava, Carlo and Lopez, L Alfonso Urena and Mart{\'\i}n-Valdivia, M Teresa},
booktitle={Proceedings of the 12th Language Resources and Evaluation Conference},
pages={1492--1498},
year={2020}
}
Enjoy! 🤗