SOCIAL NETWORKING SITE DETECTING CYBERBULLYING WORDS

Abstract

In this present world we have come across many problems due to cyberbullying in social media which has become a major issue, especially in childrens, adolescents and young adults. In our project we have developed a new learning method to tackle this critical problem. We have developed techniques that make automatic detection of bullying messages in social media possible, and this could help to construct a healthy and safe social media environment. Our proposed method is able to exploit the hidden feature structure of bullying information and learn a robust and discriminative representation of text.