Arabic Offensive Language Detection with Attention-based Deep Neural Networks
Bushr Haddad, Zoher Orabe, Anas Al-Abood, Nada Ghneim · Zenodo (CERN European Organization for Nuclear Research) · 2020
Abstract: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.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.This version is archived in the Arab International University (AIU) repository for open access and dissemination purposes.The content of this paper has not been modified from the original publication.For more information, please visit the official repository of Arab International University (AIU): https://www.aiu.edu.sy