Arabic Offensive Language Detection with Attention-based Deep Neural Networks
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2020
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| _version_ | 1866901632326828032 |
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| author | Bushr Haddad Zoher Orabe Anas Al-Abood Nada Ghneim |
| author_facet | Bushr Haddad Zoher Orabe Anas Al-Abood Nada Ghneim |
| contents | <strong>Abstract:</strong><br>The abusive content on Arabic social media such as hate speech, sexism, racism has become pervasive, and it has a lot of negative psychological effects on users. In this paper, we introduce our work aiming to detect Arabic offensive language and hate speech.<br><br>This work was originally published in: Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT4), Volume nan, Issue nan, Pages 76-81, 2020.<br>This version is archived in the Arab International University (AIU) repository for open access and dissemination purposes.<br>The content of this paper has not been modified from the original publication.<br>For more information, please visit the official repository of Arab International University (AIU): <a href="https://www.aiu.edu.sy">https://www.aiu.edu.sy</a> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19687051 |
| institution | Zenodo |
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| publishDate | 2020 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Arabic Offensive Language Detection with Attention-based Deep Neural Networks Bushr Haddad Zoher Orabe Anas Al-Abood Nada Ghneim Abusive Language Text Mining Arabic Language Social Media Mining Deep Learning Convolutional Neural Network Gated Recurrent Unit Attention Mechanism Machine Learning <strong>Abstract:</strong><br>The abusive content on Arabic social media such as hate speech, sexism, racism has become pervasive, and it has a lot of negative psychological effects on users. In this paper, we introduce our work aiming to detect Arabic offensive language and hate speech.<br><br>This work was originally published in: Proceedings of the 4th Workshop on Open-Source Arabic Corpora and Processing Tools (OSACT4), Volume nan, Issue nan, Pages 76-81, 2020.<br>This version is archived in the Arab International University (AIU) repository for open access and dissemination purposes.<br>The content of this paper has not been modified from the original publication.<br>For more information, please visit the official repository of Arab International University (AIU): <a href="https://www.aiu.edu.sy">https://www.aiu.edu.sy</a> |
| title | Arabic Offensive Language Detection with Attention-based Deep Neural Networks |
| topic | Abusive Language Text Mining Arabic Language Social Media Mining Deep Learning Convolutional Neural Network Gated Recurrent Unit Attention Mechanism Machine Learning |
| url | https://doi.org/10.5281/zenodo.19687051 |