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Cyberbullying Detection: An Overview
Wan Noor Hamiza Wan Ali, Masnizah Mohd & Fariza Fauzi
Abstract
This paper is an overview of cyberbullying which occurs mostly on social networking
sites and issues and challenges in detecting cyberbullying. The topic presented in this
paper starts with an introduction on cyberbullying: definition, categories and roles. Then,
in the discussion of cyberbullying detection, available data sources, features and
classification techniques used are reviewed. Natural Language Processing (NLP) and
machine learning are the famous approaches used to identify bullying keywords within
the corpus. Finally, issues and challenges in cyberbullying detection are highlighted and
discussed.
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