Empowering health geography research with location-based social media data: innovative food word expansion and energy density prediction via word embedding and machine learning

BACKGROUND: The exponential growth of location-based social media (LBSM) data has ushered in novel prospects for investigating the urban food environment in health geography research. However, previous studies have primarily relied on word dictionaries with a limited number of food words and employe...

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Detalles Bibliográficos
Autores principales: Wang, Jue, Kim, Gyoorie, Chang, Kevin Chen-Chuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505329/
https://www.ncbi.nlm.nih.gov/pubmed/37716950
http://dx.doi.org/10.1186/s12942-023-00344-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505329/
https://www.ncbi.nlm.nih.gov/pubmed/37716950
http://dx.doi.org/10.1186/s12942-023-00344-5

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