| # Irony detection in Spanish | |
| ## robertuito-irony | |
| Repository: [https://github.com/pysentimiento/pysentimiento/](https://github.com/finiteautomata/pysentimiento/) | |
| Model trained with IRosVA 2019 dataset for irony detection. Base model is [RoBERTuito](https://github.com/pysentimiento/robertuito), a RoBERTa model trained in Spanish tweets. | |
| The positive class marks irony, the negative class marks not irony. | |
| ## Results | |
| Results for the four tasks evaluated in `pysentimiento`. Results are expressed as Macro F1 scores | |
| | model | emotion | hate_speech | irony | sentiment | | |
| |:--------------|:--------------|:--------------|:--------------|:--------------| | |
| | robertuito | 0.560 ± 0.010 | 0.759 ± 0.007 | 0.739 ± 0.005 | 0.705 ± 0.003 | | |
| | roberta | 0.527 ± 0.015 | 0.741 ± 0.012 | 0.721 ± 0.008 | 0.670 ± 0.006 | | |
| | bertin | 0.524 ± 0.007 | 0.738 ± 0.007 | 0.713 ± 0.012 | 0.666 ± 0.005 | | |
| | beto_uncased | 0.532 ± 0.012 | 0.727 ± 0.016 | 0.701 ± 0.007 | 0.651 ± 0.006 | | |
| | beto_cased | 0.516 ± 0.012 | 0.724 ± 0.012 | 0.705 ± 0.009 | 0.662 ± 0.005 | | |
| | mbert_uncased | 0.493 ± 0.010 | 0.718 ± 0.011 | 0.681 ± 0.010 | 0.617 ± 0.003 | | |
| | biGRU | 0.264 ± 0.007 | 0.592 ± 0.018 | 0.631 ± 0.011 | 0.585 ± 0.011 | | |
| Note that for Hate Speech, these are the results for Semeval 2019, Task 5 Subtask B (HS+TR+AG detection) | |
| ## Citation | |
| If you use this model in your research, please cite pysentimiento and RoBERTuito 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} | |
| } | |
| @misc{perez2021robertuito, | |
| title={RoBERTuito: a pre-trained language model for social media text in Spanish}, | |
| author={Juan Manuel Pérez and Damián A. Furman and Laura Alonso Alemany and Franco Luque}, | |
| year={2021}, | |
| eprint={2111.09453}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CL} | |
| } | |
| ``` |