A generic review of cyberbullying detection framework by machine learning approach
Savinder Singh, Cik Feresa Mohd Foozy, Nurul Aswa Omar, Palaniappan Shamala, Nur Fadzilah Othman · AIP conference proceedings · 2022
Research into cyberbullying detection has increased in recent years, this is due to the proliferation of cyberbullying across social media and its negative effect on the younger generation. The growing body of work is emerging on automated approaches to cyberbullying detection. These approaches utilize machine learning, natural language processing techniques and cyberbullying features to automatically detect cyberbullying. In this paper, a review of published research (as identifies via Scopus, ACM and IEEE bibliographic databases) on cyberbullying detection approaches will be presented. On the basis of the review that have been done the most suitable cyberbullying feature and the categories will be mapped out.