# cardiffnlp/twitter-xlm-roberta-base-hate-spanish This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base](https://huggingface.co./cardiffnlp/twitter-xlm-roberta-base) using the [`HaterNet`](https://zenodo.org/record/2592149) dataset and the Spanish subset of [`SemEval-2019 Task 5`](https://aclanthology.org/S19-2007/). ## Following metrics are achieved * `on the test split of SemEval-2019 Task 5` - F1 (weighted): 0.7866 - F1 (macro): 0.7935 - Accuracy: 0.7937 * on custom test split of `Haternet` - F1 (weighted): 0.7815 - F1 (macro): 0.6981 - Accuracy: 0.7933 * on `Haternet` & `SemEval-2019 Task 5` - F1 (weighted): 0.7908 - F1 (macro): 0.7657 - Accuracy: 0.7936 ### Usage Install tweetnlp via pip. ```shell pip install tweetnlp ``` Load the model in python. ```python import tweetnlp model = tweetnlp.Classifier("cardiffnlp/twitter-xlm-roberta-base-hate-spanish") model.predict('Ismael es egocentrico porque se vuelve loca si le dicen que tiene el pelo bonitoπŸ˜‚πŸ˜‚πŸ˜‚πŸ˜‚ eso se define con otro objetivo #FirstDates251') >> {'label': 'NOT-HATE'} ``` ### Datasets @inproceedings{basile-etal-2019-semeval, title = "{S}em{E}val-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in {T}witter", author = "Basile, Valerio and Bosco, Cristina and Fersini, Elisabetta and Nozza, Debora and Patti, Viviana and Rangel Pardo, Francisco Manuel and Rosso, Paolo and Sanguinetti, Manuela", booktitle = "Proceedings of the 13th International Workshop on Semantic Evaluation", month = jun, year = "2019", address = "Minneapolis, Minnesota, USA", publisher = "Association for Computational Linguistics", url = "https://aclanthology.org/S19-2007", doi = "10.18653/v1/S19-2007", pages = "54--63", } @article{quijano2019haternet, title={HaterNet a system for detecting and analyzing hate speech in Twitter (Version 1.0)[Data set]}, author={Quijano-Sanchez, Lara and Kohatsu, Juan Carlos Pereira and Liberatore, Federico and Camacho-Collados, Miguel}, journal={Zenodo}, year={2019} }