Cyberbullying system detection and analysis

Foong, Yee Jang; Oussalah, Mourad (2019-12-28)
 
Avaa tiedosto
Lataukset: 

URL:
https://doi.org/10.1109/EISIC.2017.43

Foong, Yee Jang
Oussalah, Mourad
Institute of Electrical and Electronics Engineers
28.12.2019

Y. J. Foong and M. Oussalah, "Cyberbullying System Detection and Analysis," 2017 European Intelligence and Security Informatics Conference (EISIC), Athens, 2017, pp. 40-46. doi: 10.1109/EISIC.2017.43

https://rightsstatements.org/vocab/InC/1.0/
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1109/EISIC.2017.43
Näytä kaikki kuvailutiedot
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe202003248940
Tiivistelmä

Abstract

Cyber-bullying has recently been reported as one that causes tremendous damage to society and economy. Advances in technology related to web-document annotation and the multiplicity of the online communities renders the detection and monitoring of such cases rather difficult and very challenging. This paper describes an online system for automatic detection and monitoring of Cyber-bullying cases from online forums and online communities. The system relies on the detection of three basic natural language components corresponding to Insults, Swears and Second Person. A classification system and ontology like reasoning have been employed to detect the occurrence of such entities in the forum/web documents, which would trigger a message to security in order to take appropriate action. The system has been tested on two distinct forums and achieves reasonable detection performances.

Kokoelmat