Abstract

Abstract — Cyberbullying has become a serious issue on social media in recent years. Cyberbullying masquerading asa form of harassment is becoming a monster, with people hurting others and creating bogus profiles. Phony users andfake messages are among the issues of masquerade, as is the rise in negativity on social media. In our project, wecreated an application that might handle these cyberbullying difficulties by developing a cyberbullying detectionmodel that can identify and prevent bullying communications. To create the application, we employed the followingalgorithms: Support vector machine, Nave bayes, Random forest, and K Nearest Neighbor. Finally, we compared andcontrasted all of these methods.Keywords: Cyberbulling, Support Vector Machine, Machine Learning Algorithm, Social Media