Machine and Deep Learning Studies for Cyberbullying Detection

The internet revolution in society has various effects on our daily life such as the use of social media. While media is ubiquitous and great some aspects, it brings a new issue that appears more today’s world. This issue, Cyberbullying, involves harming someone by posting or sharing content causes feelings embarrassment, guilt, humiliation. Easily creating fake accounts with identity further increase cyberbullying incidents encourages cyberbullies. Cyberbullying can affect people both mentally physically lead to permanent problems. However, studies this area show be prevented. In study, we review machine learning techniques detect prevent cyberbullying, evaluate performances deep models, examine factors performance models. We also discuss importance data preprocessing, feature extraction selection, classification processes detection