International Research Journal of Education and Technology

Cyber bullying is the process of sending wrong messages to a person or community which causes heated debate with users. Cyber bullying is mostly seen in social networking sites where users reply to post with bullying words to threaten or insult other users. Cyber bullying is considered a misuse of technology. According to the latest survey done on all over the world data day by day, cases are increasing on cyber bullying. In order to solve this problem many natural language processing techniques are proposed by various authors which are time taking and not automatic. With the advancement of machine learning and artificial intelligence, models can be created and automatic detection can be implemented. To show this scenario live chat application is developed in python programming with multiple clients and one server and the Naive Bayes algorithm is used to train the model on a Twitter dataset and using this model live detection of cyber bullying is predicted and alert messages are shown on the chat application.

Keywords: Cyberbullying, Machine learning, Naïve Bayes, dataset.