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

• Автори: Christos Stefanis (Автор), Elpida Giorgi (Автор), Konstantinos Kalentzis (Автор), Athanasios Tselemponis (Автор), Evangelia Nena (Автор), Christina Tsigalou (Автор), Christos Kontogiorgis (Автор), Yiannis Kourkoutas (Автор), Ekaterini Chatzak (Автор), Ioannis Dokas (Автор), Theodoros Constantinidis (Автор), Eugenia Bezirtzoglou (Автор)
• Формат: Книга
• Опубліковано: Frontiers Media S.A., 2023-07-01T00:00:00Z.
• Предмети: article
• Онлайн доступ: Connect to this object online.

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...