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Cyberbullying detection using web content mining

Authorized Users Only
2014
Authors
Kovačević, Ana
Conference object (Published version)
Metadata
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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:
cyberbullying / information security / text mining / web mining
Source:
2014 22nd Telecommunications Forum Telfor (TELFOR), 2014, 939-942
Publisher:
  • IEEE, New York
Funding / projects:
  • Security and protection of organization and functioning of the educational system in the Republic of Serbia (basic precepts, principles, protocols, procedures and means) (RS-47017)

DOI: 10.1109/TELFOR.2014.7034560

WoS: 000392912300198

Scopus: 2-s2.0-84962224715
[ Google Scholar ]
6
2
URI
https://rhinosec.fb.bg.ac.rs/handle/123456789/257
Collections
  • Radovi istraživača
Institution/Community
FB
TY  - CONF
AU  - Kovačević, Ana
PY  - 2014
UR  - https://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
UR  - conv_460
ER  - 
@conference{
author = "Kovačević, Ana",
year = "2014",
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",
url = "conv_460"
}
Kovačević, A.. (2014). Cyberbullying detection using web content mining. in 2014 22nd Telecommunications Forum Telfor (TELFOR)
IEEE, New York., 939-942.
https://doi.org/10.1109/TELFOR.2014.7034560
conv_460
Kovačević A. Cyberbullying detection using web content mining. in 2014 22nd Telecommunications Forum Telfor (TELFOR). 2014;:939-942.
doi:10.1109/TELFOR.2014.7034560
conv_460 .
Kovačević, Ana, "Cyberbullying detection using web content mining" in 2014 22nd Telecommunications Forum Telfor (TELFOR) (2014):939-942,
https://doi.org/10.1109/TELFOR.2014.7034560 .,
conv_460 .

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