|
--- |
|
language: |
|
- es |
|
|
|
tags: |
|
- emotion-analysis |
|
|
|
--- |
|
|
|
# Emotion Analysis in Spanish |
|
## beto-emotion-analysis |
|
|
|
Repository: [https://github.com/finiteautomata/pysentimiento/](https://github.com/finiteautomata/pysentimiento/) |
|
|
|
|
|
Model trained with TASS 2020 Task 2 corpus for Emotion detection in Spanish. Base model is [BETO](https://github.com/dccuchile/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](http://tass.sepln.org/tass_data/download.php) |
|
2. [SEMEval 2017 Dataset license]() |
|
|
|
## Citation |
|
|
|
If you use `pysentimiento` in your work, please cite [this paper](https://arxiv.org/abs/2106.09462) |
|
|
|
``` |
|
@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! 🤗 |
|
|
