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| Main Authors: | , , , |
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| Format: | Recurso digital |
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Zenodo
2020
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.19687051 |
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Table of 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>