Publication: Establishing Field of Study: Towards Development of a Multilingual Model for Auto-detection of Cyberbullying Using Fuzzy-Crisp Rules and Internet Crowd Data
Date
2021
Authors
Md Din M.
Rahim F.A.
Md. Anwar R.
Abu Bakar A.
Latif A.A.
Journal Title
Journal ISSN
Volume Title
Publisher
Springer Science and Business Media Deutschland GmbH
Abstract
This paper is about establishing field of study on the proposed development of a multilingual model for auto-detection of cyberbullying using fuzzy-crisp rules and Internet crowd data among Malaysian. From the time of preliminary study conducted, there was no cyberbully detection tool reported in Malaysia. This study intends to formulate an improved algorithm using fuzzy and crisp rules that is able to detect cyberbullying incidents in Malaysia society based on English and Malay languages. Some literature reviews and preliminary findings are attached and discussed to give more view about the research. This paper also encompasses on the methodology and activities to be carried out in achieving the objectives, along with the research expectations. � 2021, Springer Nature Switzerland AG.
Description
Computer crime; Auto-detection; Content extraction; Crisp rule; Cyber bullying; Cyberbully; Cyberbullying detection; Fuzzy-Logic; Malaysia; Malaysians; Fuzzy logic