Mining association rules from COVID-19 related twitter data to discover word patterns, topics and inferences

This work utilizes data from Twitter to mine association rules and extract knowledge about public attitudes regarding worldwide crises. It exploits the COVID-19 pandemic as a use case, and analyzes tweets gathered between February and August 2020. The proposed methodology comprises topic extraction...

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Detalles Bibliográficos
Autores principales: Koukaras, Paraskevas, Tjortjis, Christos, Rousidis, Dimitrios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758561/
https://www.ncbi.nlm.nih.gov/pubmed/36569358
http://dx.doi.org/10.1016/j.is.2022.102054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9758561/
https://www.ncbi.nlm.nih.gov/pubmed/36569358
http://dx.doi.org/10.1016/j.is.2022.102054

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