Cyber Bullying Detection using Machine Learning

Abstract

Cyber bullying has been increasing at an unfathomable rate with the rise of the internet and the increasing radius of the social networks. This increasing amount of cyber bullying serves to be a threat to many people who are an active part of these social networks, especially the people using the social media websites for posting information and communication. These crimes have affected many people and have also resulted in suicides. Thus we need an efficient system to detect these bullying attacks and reduce their amount. In the past machine learning models have been constructed to address this problem, but those models have not been very successful. In this paper we will discuss the latest technologies like Naive Bayes, SVM, BERT models, CNN and LSTM that have been applied in this area and compare their results. Keywords: Cyber Bullying, Social Network, Machine Learning, Naive Bayes, SVM, CNN