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...
| الحاوية / القاعدة: | INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS |
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| المؤلفون الرئيسيون: | , , , |
| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
SCIENCE & INFORMATION SAI ORGANIZATION LTD
2025
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001441789600001 |