Trend clustering from COVID-19 tweets using graphical lasso-guided iterative principal component analysis

This article presents a method for trend clustering from tweets about coronavirus disease (COVID-19) to help us objectively review the past and make decisions about future countermeasures. We aim to avoid detecting usual trends based on seasonal events while detecting essential trends caused by the...

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Detalles Bibliográficos
Autores principales: Harakawa, Ryosuke, Ito, Tsutomu, Iwahashi, Masahiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982667/
https://www.ncbi.nlm.nih.gov/pubmed/35383245
http://dx.doi.org/10.1038/s41598-022-09651-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8982667/
https://www.ncbi.nlm.nih.gov/pubmed/35383245
http://dx.doi.org/10.1038/s41598-022-09651-6

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