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...

書誌詳細
出版年:	INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
主要な著者:	Wang, Lei; Abdullah, Nur Atiqah Sia; Aris, Syaripah Ruzaini Syed
フォーマット:	論文
言語:	English
出版事項:	SCIENCE & INFORMATION SAI ORGANIZATION LTD 2025
主題:	Computer Science
オンライン･アクセス:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001441789600001

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