Edit model card

Emotion Analysis in Spanish

beto-emotion-analysis

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.

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 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! 🤗

Downloads last month
5,172
Safetensors
Model size
110M params
Tensor type
I64
·
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for finiteautomata/beto-emotion-analysis

Finetunes
1 model