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Cyberbullying detection using web content mining

Само за регистроване кориснике
2014
Аутори
Kovačević, Ana
Конференцијски прилог (Објављена верзија)
Метаподаци
Приказ свих података о документу
Апстракт
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.
Кључне речи:
cyberbullying / information security / text mining / web mining
Извор:
2014 22nd Telecommunications Forum Telfor (TELFOR), 2014, 939-942
Издавач:
  • IEEE, New York
Пројекти:
  • Безбедност и заштита организовања и функционисања васпитно образовног система у Републици Србији (основна начела, принципи, протоколи, процедуре и средства) (RS-47017)

DOI: 10.1109/TELFOR.2014.7034560

WoS: 000392912300198

Scopus: 2-s2.0-84962224715
[ Google Scholar ]
5
2
URI
http://rhinosec.fb.bg.ac.rs/handle/123456789/257
Колекције
  • Radovi istraživača
Институција
FB
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 .

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