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

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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...

书目详细资料
发表在:	INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
Main Authors:	Wang, Lei; Abdullah, Nur Atiqah Sia; Aris, Syaripah Ruzaini Syed
格式:	文件
语言:	English
出版:	SCIENCE & INFORMATION SAI ORGANIZATION LTD 2025
主题:	Computer Science
在线阅读:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001441789600001

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