Performance of name-to-gender inference: comparison between Gender API, NamSor, and genderize.io in a multicultural global dataset

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Authors: Paul Sebo, Amrollah Shamsi, Ting Wang
Cited by: 1
References: 29

Fields of Study & Subjects

Authorship Attribution and Profiling Natural Language Processing Techniques Topic Modeling

Publication details

Journal / source
Internal and Emergency Medicine
Publisher
Springer Science and Business Media LLC
Volume
21
Issue
5
Pages
1585–1592
Publication date
3 April 2026
Language
EN