Cyberbullying Detection and Classification Using Information Retrieval Algorithm

Social networking site is being rapidly increased in recent years, which provides platform to connect people all over the world and share their interests. However, Social Networking Sites is providing opportunities for cyberbullying activities. Cyberbullying is harassing or insulting a person by sending messages of hurting or threatening nature using electronic communication. Cyberbullying poses significant threat to physical and mental health of the victims. Detection of cyberbullying and the provision of subsequent preventive measures are the main courses of action to combat cyberbullying. A cyberbully detection system to identify and classify cyberbullying activities such as Flaming, Harassment, Racism and Terrorism in Social network is proposed. Cyberbully detection is done using Levenshtein algorithm and classification of Cyberbully activity is carried out using Naive Bayes classifier.