Identifying health related occupations of Twitter users through word embedding and deep neural networks

BACKGROUND: Twitter is a popular social networking site where short messages or “tweets” of users have been used extensively for research purposes. However, not much research has been done in mining the medical professions, such as detecting the occupations of users from their biographical contents....

Descripción completa

Detalles Bibliográficos
Autores principales: Zainab, Kazi, Srivastava, Gautam, Mago, Vijay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520792/
https://www.ncbi.nlm.nih.gov/pubmed/36171569
http://dx.doi.org/10.1186/s12859-022-04933-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9520792/
https://www.ncbi.nlm.nih.gov/pubmed/36171569
http://dx.doi.org/10.1186/s12859-022-04933-2

Ejemplares similares