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Sentiment Analysis in Spanish

beto-sentiment-analysis

NOTE: this model will be removed soon -- use pysentimiento/robertuito-sentiment-analysis instead

Repository: https://github.com/finiteautomata/pysentimiento/

Model trained with TASS 2020 corpus (around ~5k tweets) of several dialects of Spanish. Base model is BETO, a BERT model trained in Spanish.

Uses POS, NEG, NEU labels.

License

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.

  1. TASS Dataset license
  2. SEMEval 2017 Dataset license

Citation

If you use this model in your work, please cite the following papers:

@misc{perez2021pysentimiento,
      title={pysentimiento: A Python Toolkit for Sentiment Analysis and SocialNLP tasks},
      author={Juan Manuel PΓ©rez and Juan Carlos Giudici and Franco Luque},
      year={2021},
      eprint={2106.09462},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

@article{canete2020spanish,
  title={Spanish pre-trained bert model and evaluation data},
  author={Ca{\~n}ete, Jos{\'e} and Chaperon, Gabriel and Fuentes, Rodrigo and Ho, Jou-Hui and Kang, Hojin and P{\'e}rez, Jorge},
  journal={Pml4dc at iclr},
  volume={2020},
  number={2020},
  pages={1--10},
  year={2020}
}

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