Crowdsourcing and machine learning approaches for extracting entities indicating potential foodborne outbreaks from social media

Foodborne outbreaks are a serious but preventable threat to public health that often lead to illness, loss of life, significant economic loss, and the erosion of consumer confidence. Understanding how consumers respond when interacting with foods, as well as extracting information from posts on soci...

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Detalles Bibliográficos
Autores principales: Tao, Dandan, Zhang, Dongyu, Hu, Ruofan, Rundensteiner, Elke, Feng, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568976/
https://www.ncbi.nlm.nih.gov/pubmed/34737325
http://dx.doi.org/10.1038/s41598-021-00766-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8568976/
https://www.ncbi.nlm.nih.gov/pubmed/34737325
http://dx.doi.org/10.1038/s41598-021-00766-w

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