Deciphering Latent Health Information in Social Media Using a Mixed-Methods Design

Natural language processing techniques have increased the volume and variety of text data that can be analyzed. The aim of this study was to identify the positive and negative topical sentiments among diet, diabetes, exercise, and obesity tweets. Using a sequential explanatory mixed-method design fo...

Descripción completa

Detalles Bibliográficos
Autores principales: Shaw, George, Zimmerman, Margaret, Vasquez-Huot, Ligia, Karami, Amir
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691243/
https://www.ncbi.nlm.nih.gov/pubmed/36421644
http://dx.doi.org/10.3390/healthcare10112320

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691243/
https://www.ncbi.nlm.nih.gov/pubmed/36421644
http://dx.doi.org/10.3390/healthcare10112320

Ejemplares similares