Beto Emotion Analysis

🚀 Emotion Analysis in Spanish

This project provides a model for emotion detection in Spanish, leveraging the BETO base model and trained on the TASS 2020 Task 2 corpus.

🚀 Quick Start

The model in this repository is trained with the TASS 2020 Task 2 corpus for emotion detection in Spanish. The base model is BETO, a BERT model trained in Spanish.

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

📄 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

📚 Documentation

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! 🤗