Review of Machine Learning Models in Cyberbullying Detection Problem-Reference-Cited by-同舟云学术

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Review of Machine Learning Models in Cyberbullying Detection Problem

Published:2024-05-15 Issue: Volume:14 Page:233-238
ISSN:
Container-title:2024 IEEE 4th International Conference on Smart Information Systems and Technologies (SIST)
language:
Short-container-title:

Author:

Toktarova Aigerim¹,Sultan Daniyar²,Azhibekova Zhanar³

Affiliation:

1. International Kazakh-Turkish University,Department of Information Systems,Turkistan,Kazakhstan

2. Al-Farabi Kazakh National University,Department of Information Systems,Almaty,Kazakhstan

3. Kazakh National Medical University Named After S.D. Asfendiyarov,Department of Information Communication Technologies,Almaty,Kazakhstan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629221/10629222/10629223.pdf?arnumber=10629223

Reference23 articles.

1. Teenagers, screens and social media: a narrative review of reviews and key studies

2. Cyberbullying detection solutions based on deep learning architectures

3. A Bi-GRU with attention and CapsNet hybrid model for cyberbullying detection on social media

4. Cyberbullying: An Emerging Threat to the «Always On» Generation;Belsey,2019

5. Digital citizenship among Appalachian middle schoolers: The common sense digital citizenship curriculum

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