Cyberbullying detection using web content mining

dc.creator	Kovačević, Ana
dc.date.accessioned	2020-01-08T16:49:30Z
dc.date.available	2020-01-08T16:49:30Z
dc.date.issued	2014
dc.identifier.uri	https://rhinosec.fb.bg.ac.rs/handle/123456789/257
dc.description.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.	en
dc.publisher	IEEE, New York
dc.relation	info:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/47017/RS//
dc.rights	restrictedAccess
dc.source	2014 22nd Telecommunications Forum Telfor (TELFOR)
dc.subject	cyberbullying	en
dc.subject	information security	en
dc.subject	text mining	en
dc.subject	web mining	en
dc.title	Cyberbullying detection using web content mining	en
dc.type	conferenceObject
dc.rights.license	ARR
dcterms.abstract	Ковачевић, Aна;
dc.citation.spage	939
dc.citation.epage	942
dc.citation.other	: 939-942
dc.identifier.wos	000392912300198
dc.identifier.doi	10.1109/TELFOR.2014.7034560
dc.identifier.scopus	2-s2.0-84962224715
dc.type.version	publishedVersion