A high-resolution temporal and geospatial content analysis of Twitter posts related to the COVID-19 pandemic

The COVID-19 pandemic has deeply impacted all aspects of social, professional, and financial life, with concerns and responses being readily published in online social media worldwide. This study employs probabilistic text mining techniques for a large-scale, high-resolution, temporal, and geospatia...

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Detalles Bibliográficos
Autores principales: Ntompras, Charalampos, Drosatos, George, Kaldoudi, Eleni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528186/
https://www.ncbi.nlm.nih.gov/pubmed/34697602
http://dx.doi.org/10.1007/s42001-021-00150-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528186/
https://www.ncbi.nlm.nih.gov/pubmed/34697602
http://dx.doi.org/10.1007/s42001-021-00150-8

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