Detecting Arabic sexual harassment using bidirectional long-short-term memory and a temporal convolutional network-Reference-Cited by-同舟云学术

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Detecting Arabic sexual harassment using bidirectional long-short-term memory and a temporal convolutional network

Published:2023-07 Issue:2 Volume:24 Page:365-373
ISSN:1110-8665
Container-title:Egyptian Informatics Journal
language:en
Short-container-title:Egyptian Informatics Journal

Author:

Amer Hamzah Noor,Dhannoon Ban N.

Publisher

Elsevier BV

Subject

Management Science and Operations Research,Computer Science Applications,Information Systems

Reference27 articles.

1. Cyber grooming: Risk factors, coping strategies and associations with cyberbullying;Wachs;Psicothema,2012

2. KELLER, N.B.a.M.H. video games and online chats are “hunting grounds” for sexual predators. Available from https://www.nytimes.com/interactive/2019/12/07/us/video-games-child-sex-abuse.html [Accessed DEC. 7, 2019].

3. Amer, N. Arabic-sexual-harassment-dataset. Available from https://github.com/Nooramer8/Arabic-sexual-harassment-dataset. [Accessed 1-1-2022].

4. Online social network bullying detection using intelligence techniques;Nandhini;Proc Comput Sci,2015

5. Classification of sexual harassment on Facebook using term weighting schemes;Al-Katheri;Internat J Innov Comput,2018

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