Public sentiment on the global outbreak of monkeypox: an unsupervised machine learning analysis of 352,182 twitter posts

OBJECTIVES: This study aimed to study the public's sentiments on the current monkeypox outbreaks via an unsupervised machine learning analysis of social media posts. STUDY DESIGN: This was an exploratory analysis of tweets sentiments. METHODS: We extracted original tweets containing the terms ‘...

Descripción completa

Detalles Bibliográficos
Autores principales: Ng, Q.X., Yau, C.E., Lim, Y.L., Wong, L.K.T., Liew, T.M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society for Public Health. Published by Elsevier Ltd. 2022
Materias:
Short Communication
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597903/
https://www.ncbi.nlm.nih.gov/pubmed/36308872
http://dx.doi.org/10.1016/j.puhe.2022.09.008

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9597903/
https://www.ncbi.nlm.nih.gov/pubmed/36308872
http://dx.doi.org/10.1016/j.puhe.2022.09.008

Ejemplares similares