A Survey on Hate Speech Detection using Natural Language Processing
Anna Grau Schmidt low, Michael Wiegand
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.
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| Hate Speech and Cyberbullying Detection | Computer Science |
| Internet Traffic Analysis and Secure E-voting | Computer Science |
| Spam and Phishing Detection | Computer Science |
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