Cyber Bullying Detection on Social Media using Machine Learning

Usage of internet and social media backgrounds tends in the use sending, receiving posting negative, harmful, false or mean content about another individual which thus means Cyberbullying. Bullying over also works same as threatening, calumny, chastising individual. Cyberbullying has led to a severe increase mental health problems, especially among young generation. It resulted lower self-esteem, increased suicidal ideation. Unless some measure against cyberbullying is taken, self-esteem issues will affect an entire generation adults. Many traditional machine learning models have been implemented past for automatic detection on media. But these not considered all necessary features that can be used identify classify statement post bullying. In this paper, we proposed model based various should while detecting implement few with help bidirectional deep called BERT.