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