Title :
Cyberbullying detection using web content mining
Author_Institution :
Fac. of Security Studies, Univ. of Belgrade, Belgrade, Serbia
Abstract :
Cyberbullying has become intensive field of research, due to its major impact on society. Most researchers analyze causes and consequences of cyberbullying, however, only few try to improve software to reduce or stop cyberbullying, and make Internet a safer place. In this article, current review of efforts in cyberbullying detection using web content mining techniques is presented.
Keywords :
Internet; data mining; security of data; text analysis; Internet; Web content mining techniques; cyberbullying detection; information security; text mining; Classification algorithms; Context; Internet; Social network services; Support vector machines; Text mining; cyberbullying; information security; text mining; web mining;
Conference_Titel :
Telecommunications Forum Telfor (TELFOR), 2014 22nd
Conference_Location :
Belgrade
Print_ISBN :
978-1-4799-6190-0
DOI :
10.1109/TELFOR.2014.7034560
