Research on Online Hate Speech Detection Based on Emotion and Topic

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Artificial Intelligence | 更新时间：2025-12-16

- Research on Online Hate Speech Detection Based on Emotion and Topic
- “In the field of social media, experts have proposed a teacher-student model ESTD based on aspect emotion feature extraction, which effectively enhances the detection ability of hidden hate speech and provides new ideas for public opinion monitoring.”
- Software Guide Vol. 24, Issue 12, Pages: 80-84(2025)
- 作者机构：
  
  1.华中师范大学人工智能与智慧学习湖北省重点实验室
  2.华中师范大学计算机学院
  3.国家语言资源监测与研究网络媒体中心
  4.华中师范大学人工智能教育学部，湖北武汉 430079
- 作者简介：
- 基金信息：
- DOI：10.11907/rjdk.251026
  CLC： TP391.1
- Received：22 January 2025，
  
  Published：15 December 2025
- 稿件说明：
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陈卓,张茂元,郑萌.基于情感与主题的网络仇恨言论检测研究[J].软件导刊,2025,24(12):80-84.

CHEN Zhuo,ZHANG Maoyuan,ZHENG Meng.Research on Online Hate Speech Detection Based on Emotion and Topic[J].Software Guide,2025,24(12):80-84.
陈卓,张茂元,郑萌.基于情感与主题的网络仇恨言论检测研究[J].软件导刊,2025,24(12):80-84. DOI： 10.11907/rjdk.251026.

CHEN Zhuo,ZHANG Maoyuan,ZHENG Meng.Research on Online Hate Speech Detection Based on Emotion and Topic[J].Software Guide,2025,24(12):80-84. DOI： 10.11907/rjdk.251026.

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