Sentiment Analysis-Based Method to Prevent Cyber Bullying

Abstract

Cyberbullying is spreading in social networks frequented by young people. Its rapid spread is due to a series of specific preconditions due to the nature of the context within which the cyberbully finds himself operating. Anonymity, the absence of space-time limits, and the lack of responsibility of the individual are the strengths on which the actions of bullies are based. Automatically identifying acts of cyberbullying and social networks can help in setting up support policies for victims. In this study a method based on sentiment analysis is proposed with the use of recurrent neural networks for the prevention of cyberbullying acts in social networks.