Sentiment analysis of epidemiological surveillance reports on COVID-19 in Greece using machine learning models

The present research deals with sentiment analysis performed with Microsoft Azure Machine Learning Studio to classify Facebook posts on the Greek National Public Health Organization (EODY) from November 2021 to January 2022 during the pandemic. Positive, negative and neutral sentiments were included...

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Detalles Bibliográficos
Autores principales: Stefanis, Christos, Giorgi, Elpida, Kalentzis, Konstantinos, Tselemponis, Athanasios, Nena, Evangelia, Tsigalou, Christina, Kontogiorgis, Christos, Kourkoutas, Yiannis, Chatzak, Ekaterini, Dokas, Ioannis, Constantinidis, Theodoros, Bezirtzoglou, Eugenia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Public Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10392838/
https://www.ncbi.nlm.nih.gov/pubmed/37533519
http://dx.doi.org/10.3389/fpubh.2023.1191730

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10392838/
https://www.ncbi.nlm.nih.gov/pubmed/37533519
http://dx.doi.org/10.3389/fpubh.2023.1191730

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