A Survey on Detection of Cyberbullying in Social Media Using Machine Learning Techniques

Abstract

AbstractNowadays, in this technologically sound world, the use of social media is very popular. Along with the advantages of social media, there are many terrible influences as well. Cyberbullying is a crucial difficulty that needs to be addressed here. Cyberbullying influences both men and women victims. Harassment by way of cyberbullies is a big issue on social media. Cyberbullying affects both in terms of the mental and expressive manner of someone. So there's a need to plan a technique to locate and inhibit cyberbullying in social networks. To conquer this condition of cyberbullying, numerous methods have been developed using Machine Learning techniques. This paper presents a brief survey on such methods and finds that Support Vector Machine (SVM) is a very efficient method of cyberbullying detection that provides the highest accuracy.KeywordsCyberbullyingSocial networksMachine learningTwitterVictims