Cyberbullying Detection in Social Networks: A Comparison Between Machine Learning and Transfer Learning Approaches

Author:

Teng Teoh Hwai1ORCID,Varathan Kasturi Dewi1ORCID

Affiliation:

1. Department of Information Systems, Faculty of Computer Science and Information Technology, Universiti Malaya, Kuala Lumpur, Malaysia

Funder

Impact Oriented Interdisciplinary Research Grant Universiti Malaya

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Cited by 13 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Cyberbullying Detection on Social Media Using Transformer Models;2024 5th Technology Innovation Management and Engineering Science International Conference (TIMES-iCON);2024-06-19

2. A comprehensive review of cyberbullying-related content classification in online social media;Expert Systems with Applications;2024-06

3. Detecting Cyberbullying through social media: A Deep Learning Approach;2024 International Conference on Advances in Modern Age Technologies for Health and Engineering Science (AMATHE);2024-05-16

4. Cyberbullying Detection on Multiclass Data Using Machine Learning and A Hybrid CNN-BiLSTM Architecture;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

5. Exploring Transformer Ensemble Approach to Classify Cyberbullying Text for the Low-resource Bengali Language;2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS);2024-03-08

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