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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 |