Analyzing and learning the language for different types of harassment

THIS ARTICLE USES WORDS OR LANGUAGE THAT IS CONSIDERED PROFANE, VULGAR, OR OFFENSIVE BY SOME READERS. The presence of a significant amount of harassment in user-generated content and its negative impact calls for robust automatic detection approaches. This requires the identification of different ty...

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Detaylı Bibliyografya
Yayımlandı:PLoS One
Asıl Yazarlar: Rezvan, Mohammadreza, Shekarpour, Saeedeh, Alshargi, Faisal, Thirunarayan, Krishnaprasad, Shalin, Valerie L., Sheth, Amit
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Public Library of Science 2020
Konular:
Research Article
Online Erişim:https://ncbi.nlm.nih.gov/pmc/articles/PMC7100939/
https://ncbi.nlm.nih.gov/pubmed/32218569
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0227330
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