articleJan 1, 2017GOLD OA

A Survey on Hate Speech Detection using Natural Language Processing

Saarland University

Indexed incrossref

Abstract

This paper presents a survey on hate speech detection.Given the steadily growing body of social media content, the amount of online hate speech is also increasing.Due to the massive scale of the web, methods that automatically detect hate speech are required.Our survey describes key areas that have been explored to automatically recognize these types of utterances using natural language processing.We also discuss limits of those approaches.

Citation impact

1,378
total citations
FWCI
94.69
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100%
References
46
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Authors

2

Topics & keywords

Keywords
  • Voice activity detection
  • Computer science
  • Social media
  • Key (lock)
  • Natural (archaeology)
  • Speech processing
  • Natural language processing
  • Scale (ratio)
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