Apothesis ΕΛΜΕΠΑ ::Πλοήγηση ανά Συγγραφέας "Mavridi, Anastasia"

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Visualization of outbreaks of mental disorders around the world using Twitter metadata: Covid-19 sentiment analysis.
(ΕΛ.ΜΕ.ΠΑ., Σχολή Μηχανικών (ΣΜΗΧ), ΠΜΣ Πληροφορική και Πολυμέσα, 2021-03-11) Mavridi, Anastasia; Μαυρίδη, Αναστασία
Due to the nature of the data and public interaction, twitter is becoming more and more useful to understand and model various events. The goal of this work is to use tweets as the information shared by the people to visualize topic modeling, study subjectivity and to model the human emotions during the COVID-19 pandemic. The main objective is to explore the psychology and behavior of the societies at large which can assist in managing the economic and social crisis during the ongoing pandemic as well as the after-effects of it. The novel coronavirus(COVID-19) pandemic forced people to stay at home to reduce the spread of the virus by maintaining the social distancing. However, social media is keeping people connected both locally and globally. People are sharing information on social media platforms which can be helpful to understand the various public behavior such as emotions, sentiments, and mobility during the ongoing pandemic. In this work, we develop a live application to observe the tweets on COVID-19 generated all over the world. In this paper, we have generated various data analytics over a period of time to study the changes in topics, subjectivity, and human emotions.