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...
| 出版年: | INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS |
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| 主要な著者: | , , , |
| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
SCIENCE & INFORMATION SAI ORGANIZATION LTD
2025
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| 主題: | |
| オンライン･アクセス: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001441789600001 |