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! 🤗
数据统计
数据评估
本站OpenI提供的finiteautomata/beto-sentiment-analysis都来源于网络,不保证外部链接的准确性和完整性,同时,对于该外部链接的指向,不由OpenI实际控制,在2023年 5月 26日 下午6:07收录时,该网页上的内容,都属于合规合法,后期网页的内容如出现违规,可以直接联系网站管理员进行删除,OpenI不承担任何责任。