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dc.creatorKovačević, Ana
dc.date.accessioned2020-01-08T16:49:30Z
dc.date.available2020-01-08T16:49:30Z
dc.date.issued2014
dc.identifier.urihttp://rhinosec.fb.bg.ac.rs/handle/123456789/257
dc.description.abstractCyberbullying 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.publisherIEEE, New York
dc.relationinfo:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/47017/RS//
dc.rightsrestrictedAccess
dc.source2014 22nd Telecommunications Forum Telfor (TELFOR)
dc.subjectcyberbullyingen
dc.subjectinformation securityen
dc.subjecttext miningen
dc.subjectweb miningen
dc.titleCyberbullying detection using web content miningen
dc.typeconferenceObject
dc.rights.licenseARR
dcterms.abstractКовачевић, Aна;
dc.citation.spage939
dc.citation.epage942
dc.citation.other: 939-942
dc.identifier.wos000392912300198
dc.identifier.doi10.1109/TELFOR.2014.7034560
dc.identifier.scopus2-s2.0-84962224715
dc.identifier.rcubconv_460
dc.type.versionpublishedVersion


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