Cyberbullying detection using machine learning

: Cyberbullying is the act of sending threatening messages of somebody in order to insult them. It is difficult to prevent cyber victimization as a result of the activity. A cyber bully is someone who uses technology to bully another person. Cyberbullying and its impacts have occurred all over the world, and the number of cases is increasing. Cyberbullying detection is critical because online information is so large that it cannot be tracked by humans. This platform is to promote the Nave Bayes classifier for word extraction and loaded pattern clustering. The goal of this study is to use Naive Bayes to build a classification model with the highest accuracy in identifying cyber bully conversations.