Automatic gender detection in Twitter profiles for health-related cohort studies

OBJECTIVE: Biomedical research involving social media data is gradually moving from population-level to targeted, cohort-level data analysis. Though crucial for biomedical studies, social media user’s demographic information (eg, gender) is often not explicitly known from profiles. Here, we present...

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Detalles Bibliográficos
Autores principales: Yang, Yuan-Chi, Al-Garadi, Mohammed Ali, Love, Jennifer S, Perrone, Jeanmarie, Sarker, Abeed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Research and Applications
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220305/
https://www.ncbi.nlm.nih.gov/pubmed/34169232
http://dx.doi.org/10.1093/jamiaopen/ooab042

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8220305/
https://www.ncbi.nlm.nih.gov/pubmed/34169232
http://dx.doi.org/10.1093/jamiaopen/ooab042

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