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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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| Publicado no: | JAMIA Open |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8220305/ https://ncbi.nlm.nih.gov/pubmed/34169232 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/jamiaopen/ooab042 |
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