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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...
Autores principales: | Ntompras, Charalampos, Drosatos, George, Kaldoudi, Eleni |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Nature Singapore
2021
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Materias: | |
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 |
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