Online Bullying Detection using Machine Learning and Deep Learning

Abstract

Due to the rise of cyberbullying, data innovation has increased, and websites now provide a big portion of it rather than mobile devices, gaming consoles, and informational platforms. Cyberbullying can manifest in various ways, including sexual insults, threats, hate letters, and uploading fake information about someone that millions of people can see and read.In comparison to traditional bullying, cyberbullying has a longer lasting effect on the victim, which can harm them physically, emotionally, psychologically, or in any combination of these ways. Suicides due to cyberbullying have surged in recent years, and India is one among four nations with the highest number of occurrences. Owing to an increase in incidents since 2015, colleges and institutions have made cyberbullying prevention mandatory.The motivation behind this project’s goal is to automatically identify cyberbullying comments using Profound Learning and AI techniques.