Detecting Chinese Sexism Text in Social Media Using Hybrid Deep Learning Model with Sarcasm Masking

Detecting Chinese Sexism Text in Social Media Using Hybrid Deep Learning Model with Sarcasm Masking

Sexism content is prevalent in social media, which seriously affects the online environment and occasionally leads to offline disputes. For this reason, many scholars have researched how to automatically detect sexist content in social media. However, the presence of sarcasm complicates this task. T...

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Bibliographic Details
Published in:INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
Main Authors: Wang, Lei; Abdullah, Nur Atiqah Sia; Aris, Syaripah Ruzaini Syed
Format: Article
Language:English
Published: SCIENCE & INFORMATION SAI ORGANIZATION LTD 2025
Subjects:
Computer Science
Online Access:https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001441789600001

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