A curated dataset for hate speech detection on social media text

Social media platforms have become the most prominent medium for spreading hate speech, primarily through hateful textual content. An extensive dataset containing emoticons, emojis, hashtags, slang, and contractions is required to detect hate speech on social media based on current trends. Therefore...

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Detalles Bibliográficos
Autores principales: Mody, Devansh, Huang, YiDong, Alves de Oliveira, Thiago Eustaquio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807815/
https://www.ncbi.nlm.nih.gov/pubmed/36605500
http://dx.doi.org/10.1016/j.dib.2022.108832

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9807815/
https://www.ncbi.nlm.nih.gov/pubmed/36605500
http://dx.doi.org/10.1016/j.dib.2022.108832

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