Establishing Field of Study: Towards Development of a Multilingual Model for Auto-detection of Cyberbullying Using Fuzzy-Crisp Rules and Internet Crowd Data
Computer crime; Auto-detection; Content extraction; Crisp rule; Cyber bullying; Cyberbully; Cyberbullying detection; Fuzzy-Logic; Malaysia; Malaysians; Fuzzy logic
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Springer Science and Business Media Deutschland GmbH
2023
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my.uniten.dspace-264642023-05-29T17:10:48Z Establishing Field of Study: Towards Development of a Multilingual Model for Auto-detection of Cyberbullying Using Fuzzy-Crisp Rules and Internet Crowd Data Md Din M. Rahim F.A. Md. Anwar R. Abu Bakar A. Latif A.A. 57361568800 57350579500 24721188400 35178991300 46461488000 Computer crime; Auto-detection; Content extraction; Crisp rule; Cyber bullying; Cyberbully; Cyberbullying detection; Fuzzy-Logic; Malaysia; Malaysians; Fuzzy logic 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. Final 2023-05-29T09:10:48Z 2023-05-29T09:10:48Z 2021 Conference Paper 10.1007/978-3-030-90235-3_7 2-s2.0-85120524039 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85120524039&doi=10.1007%2f978-3-030-90235-3_7&partnerID=40&md5=9ae399cd178b08b7a776d07f82a3b346 https://irepository.uniten.edu.my/handle/123456789/26464 13051 LNCS 77 89 Springer Science and Business Media Deutschland GmbH Scopus |
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| description |
Computer crime; Auto-detection; Content extraction; Crisp rule; Cyber bullying; Cyberbully; Cyberbullying detection; Fuzzy-Logic; Malaysia; Malaysians; Fuzzy logic |
| author2 |
57361568800 |
| author_facet |
57361568800 Md Din M. Rahim F.A. Md. Anwar R. Abu Bakar A. Latif A.A. |
| format |
Conference Paper |
| author |
Md Din M. Rahim F.A. Md. Anwar R. Abu Bakar A. Latif A.A. |
| spellingShingle |
Md Din M. Rahim F.A. Md. Anwar R. Abu Bakar A. Latif A.A. Establishing Field of Study: Towards Development of a Multilingual Model for Auto-detection of Cyberbullying Using Fuzzy-Crisp Rules and Internet Crowd Data |
| author_sort |
Md Din M. |
| title |
Establishing Field of Study: Towards Development of a Multilingual Model for Auto-detection of Cyberbullying Using Fuzzy-Crisp Rules and Internet Crowd Data |
| title_short |
Establishing Field of Study: Towards Development of a Multilingual Model for Auto-detection of Cyberbullying Using Fuzzy-Crisp Rules and Internet Crowd Data |
| title_full |
Establishing Field of Study: Towards Development of a Multilingual Model for Auto-detection of Cyberbullying Using Fuzzy-Crisp Rules and Internet Crowd Data |
| title_fullStr |
Establishing Field of Study: Towards Development of a Multilingual Model for Auto-detection of Cyberbullying Using Fuzzy-Crisp Rules and Internet Crowd Data |
| title_full_unstemmed |
Establishing Field of Study: Towards Development of a Multilingual Model for Auto-detection of Cyberbullying Using Fuzzy-Crisp Rules and Internet Crowd Data |
| title_sort |
establishing field of study: towards development of a multilingual model for auto-detection of cyberbullying using fuzzy-crisp rules and internet crowd data |
| publisher |
Springer Science and Business Media Deutschland GmbH |
| publishDate |
2023 |
| _version_ |
1806428234704748544 |
| score |
13.214268 |