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.
- TASS Dataset license
- 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 Pérez 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}
}
Enjoy! ?
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