Cyberbullying Detection System using Machine Learning in English

Abstract

Nowadays, users are demanding security while using social media. The increased use of social media by teenagers has led to cyberbullying becoming a major issue. The purpose of the study is to explore some of the different variables that influence people to become cyberbullies. The abstract idea of the paper deals with the idea of detecting harsh comments related to cyberbullying done on social media using Machine Learning algorithms and an NLP. For performing NLP, we used the NLTK library in our detection system. The various references are used for understanding the paper-related algorithms and the project. In this paper, we have used the Naive Bayes algorithm for classification and regression.