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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Detalles Bibliográficos
Autores principales: Rezvan, Mohammadreza, Shekarpour, Saeedeh, Alshargi, Faisal, Thirunarayan, Krishnaprasad, Shalin, Valerie L., Sheth, Amit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7100939/
https://www.ncbi.nlm.nih.gov/pubmed/32218569
http://dx.doi.org/10.1371/journal.pone.0227330

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7100939/
https://www.ncbi.nlm.nih.gov/pubmed/32218569
http://dx.doi.org/10.1371/journal.pone.0227330

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