A Survey on Hate Speech Detection using Natural Language Processing
- 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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| Author: | Anna Schmidt, Michael WiegandGND |
|---|---|
| URN: | urn:nbn:de:bsz:mh39-84266 |
| URL: | http://www.aclweb.org/anthology/W/W17/#1100 |
| ISBN: | 978-1-945626-42-5 |
| Parent Title (English): | Proceedings of the Fifth International Workshop on Natural Language Processing for Social Media, April 3, 2017, Valencia, Spain |
| Publisher: | Association for Computational Linguistics |
| Place of publication: | Stroudsburg, PA |
| Document Type: | Conference Proceeding |
| Language: | English |
| Year of first Publication: | 2017 |
| Date of Publication (online): | 2019/01/17 |
| Publicationstate: | Veröffentlichungsversion |
| Reviewstate: | Peer-Review |
| Tag: | Sentimentanalyse |
| GND Keyword: | Computerlinguistik; Hassrede; Natürliche Sprache; Social Media; Text Mining |
| First Page: | 1 |
| Last Page: | 10 |
| DDC classes: | 400 Sprache / 400 Sprache, Linguistik |
| Open Access?: | ja |
| Linguistics-Classification: | Computerlinguistik |
| Licence (German): |  Urheberrechtlich geschützt |