Extracting health-related causality from twitter messages using natural language processing

BACKGROUND: Twitter messages (tweets) contain various types of topics in our daily life, which include health-related topics. Analysis of health-related tweets would help us understand health conditions and concerns encountered in our daily lives. In this paper we evaluate an approach to extracting...

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Detalles Bibliográficos
Autores principales: Doan, Son, Yang, Elly W., Tilak, Sameer S., Li, Peter W., Zisook, Daniel S., Torii, Manabu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6448183/
https://www.ncbi.nlm.nih.gov/pubmed/30943954
http://dx.doi.org/10.1186/s12911-019-0785-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6448183/
https://www.ncbi.nlm.nih.gov/pubmed/30943954
http://dx.doi.org/10.1186/s12911-019-0785-0

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