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Using genderize.io to infer the gender of first names: how to improve the accuracy of the inference

OBJECTIVE: We recently showed that genderize.io is not a sufficiently powerful gender detection tool due to a large number of nonclassifications. In the present study, we aimed to assess whether the accuracy of inference by genderize.io can be improved by manipulating the first names in the database...

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Detalles Bibliográficos
Autor principal: Sebo, Paul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University Library System, University of Pittsburgh 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8608220/
https://www.ncbi.nlm.nih.gov/pubmed/34858090
http://dx.doi.org/10.5195/jmla.2021.1252

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