Cyberbullying detection using web content mining

Kovačević, Ana

doi:10.1109/TELFOR.2014.7034560

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2014

Autori

Kovačević, Ana

Konferencijski prilog (Objavljena verzija)

Metapodaci

Prikaz svih podataka o dokumentu

Apstrakt

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.

Ključne reči:

cyberbullying / information security / text mining / web mining

Izvor:
2014 22nd Telecommunications Forum Telfor (TELFOR), 2014, 939-942

Izdavač:

IEEE, New York

Projekti:

Bezbednost i zaštita organizovanja i funkcionisanja vaspitno obrazovnog sistema u Republici Srbiji (osnovna načela, principi, protokoli, procedure i sredstva) (RS-47017)

DOI: 10.1109/TELFOR.2014.7034560

WoS: 000392912300198

Scopus: 2-s2.0-84962224715

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URI

http://rhinosec.fb.bg.ac.rs/handle/123456789/257

Kolekcije

Radovi istraživača

Institucija

TY  - CONF
AU  - Kovačević, Ana
PY  - 2014
UR  - http://rhinosec.fb.bg.ac.rs/handle/123456789/257
AB  - 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.
PB  - IEEE, New York
C3  - 2014 22nd Telecommunications Forum Telfor (TELFOR)
T1  - Cyberbullying detection using web content mining
SP  - 939
EP  - 942
DO  - 10.1109/TELFOR.2014.7034560
ER  -

@conference{
author = "Kovačević, Ana",
year = "2014",
url = "http://rhinosec.fb.bg.ac.rs/handle/123456789/257",
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.",
publisher = "IEEE, New York",
journal = "2014 22nd Telecommunications Forum Telfor (TELFOR)",
title = "Cyberbullying detection using web content mining",
pages = "939-942",
doi = "10.1109/TELFOR.2014.7034560"
}

Kovačević A. Cyberbullying detection using web content mining. 2014 22nd Telecommunications Forum Telfor (TELFOR). 2014;:939-942

Kovačević, A. (2014). Cyberbullying detection using web content mining.
2014 22nd Telecommunications Forum Telfor (TELFOR)IEEE, New York., 939-942.
https://doi.org/10.1109/TELFOR.2014.7034560

Kovačević Ana, "Cyberbullying detection using web content mining" (2014):939-942,
https://doi.org/10.1109/TELFOR.2014.7034560 .