A Comparative Study of Automatic Hate Speech Detection Using Machine Learning
Author:
Affiliation:
1. University Technology Malaysia (UTM),Razak Faculty of Technology and Informatics,Kuala Lumpur,Malaysia
2. National University of Computer and Emerging Sciences (NUCES-FAST),Computer Science Department,Karachi,Pakistan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10481807/10481682/10482049.pdf?arnumber=10482049
Reference46 articles.
1. Facebook, YouTube, Twitter, and Microsoft sign the EU hate speech code;Hern;The Guardian,2016
2. Deprovincializing Trump, decolonizing diversity, and unsettling anthropology
3. Anti-Muslim hate crime surges after Manchester and London Bridge attacks;Travis;The Guardian,2017
4. Hate speech detection: Challenges and solutions
5. A Survey on Automatic Detection of Hate Speech in Text
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