Study of Cyberbullying Detection

International Journal of Computer Science and Engineering

© 2019 by SSRG - IJCSE Journal

Volume 6 Issue 5

Year of Publication : 2019

Authors : Huma Jameel,Neelam Duhan, Sana Shakeel

10.14445/23488387/IJCSE-V6I5P102

How to Cite?

Huma Jameel,Neelam Duhan, Sana Shakeel, "Study of Cyberbullying Detection," SSRG International Journal of Computer Science and Engineering , vol. 6,  no. 5, pp. 5-9, 2019. Crossref, https://doi.org/10.14445/23488387/IJCSE-V6I5P102

Abstract:

This paper is an overview of cyberbullying which occurs predominantly 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, feasible data sources, features and classification techniques used are reviewed. Natural Language Processing (NLP) and machine learning are the prominent approaches used to identify bullying keywords within the corpus. Finally, issues and challenges in cyberbullying detection are highlighted and discussed.

Keywords:

cyberbullying, social media, Twitter, detection

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