Arabic Offensive Language Detection with Attention-based Deep Neural Networks

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Auteurs principaux: Bushr Haddad, Zoher Orabe, Anas Al-Abood, Nada Ghneim
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Publié: Zenodo 2020
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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