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.
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In this paper we will discuss the latest technologies like Naive Bayes, SVM, ,CNN and LSTM (Neural Networks) that have been applied in this area and compare their results.
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We have implemented SVM, Bayesian and Neural network models for cyber bullying detection using Azure ML studio and compared their results
Link to models published by us on Azure ML Studio: Cyber Bullying Detection