Arabic Offensive Language on Twitter: Analysis and Experiments

Detecting offensive language on Twitter has many applications ranging from detecting/predicting bullying to measuring polarization. In this paper, we focus on building a large Arabic offensive tweet dataset. We introduce a method for building a dataset that is not biased by topic, dialect, or target...

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Veröffentlicht in:	arXiv.org 2021-03
Hauptverfasser:	Mubarak, Hamdy, Rashed, Ammar, Darwish, Kareem, Younes Samih, Ahmed, Abdelali
Format:	Artikel
Sprache:	eng
Schlagworte:	Bullying Datasets Support vector machines
Online-Zugang:	Volltext
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