DocumentCode
261821
Title
Cyberbullying detection using web content mining
Author
Kovacevic, Ana
Author_Institution
Fac. of Security Studies, Univ. of Belgrade, Belgrade, Serbia
fYear
2014
fDate
25-27 Nov. 2014
Firstpage
939
Lastpage
942
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Telecommunications Forum Telfor (TELFOR), 2014 22nd
Conference_Location
Belgrade
Print_ISBN
978-1-4799-6190-0
Type
conf
DOI
10.1109/TELFOR.2014.7034560
Filename
7034560
Link To Document