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Finding hate speech with auxiliary emotion detection from self-training multi-label learning perspective

  • Published:2023-08 Issue: Volume:96 Page:214-223
  • ISSN:1566-2535
  • Container-title:Information Fusion
  • language:en
  • Short-container-title:Information Fusion

Author:

Min Changrong,Lin Hongfei,Li Ximing,Zhao He,Lu Junyu,Yang Liang,Xu Bo

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference61 articles.

1. A Survey on Automatic Detection of Hate Speech in Text, Vol. 51, No. 4;Fortuna,2018

2. Hate speech detection: Challenges and solutions;MacAvaney;PLoS One,2019

3. Resources and benchmark corpora for hate speech detection: a systematic review;Poletto;Lang. Resour. Eval.,2021

4. A lexicon-based approach for hate speech detection;Gitari;Int. J. Multimed. Ubiquitous Eng.,2015

5. Us and them: identifying cyber hate on Twitter across multiple protected characteristics;Burnap;EPJ Data Sci.,2016

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