Article
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Exploring Pandemics Events on Twitter by Using Sentiment Analysis and Topic Modelling
Version 1
: Received: 28 October 2022 / Approved: 1 November 2022 / Online: 1 November 2022 (01:17:14 CET)
A peer-reviewed article of this Preprint also exists.
Qin, Z.; Ronchieri, E. Exploring Pandemics Events on Twitter by Using Sentiment Analysis and Topic Modelling. Appl. Sci. 2022, 12, 11924. Qin, Z.; Ronchieri, E. Exploring Pandemics Events on Twitter by Using Sentiment Analysis and Topic Modelling. Appl. Sci. 2022, 12, 11924.
Abstract
At the end of 2019, while the world was being hit by the COVID-19 virus and, consequently, was living a global health crisis, many other pandemics were putting humankind in danger. The role of social media is of paramount importance in these kinds of contexts since they help health systems to cope with emergencies by contributing to conducting some activities such as the identification of public concerns, the detection of infections’ symptoms, and the traceability of the virus diffusion. In this paper, we have analyzed comments on events related to cholera, ebola, HIV/AIDS, influenza, malaria, Spanish influenza, swine flu, tuberculosis, typhus, yellow fever, and zika, collecting 369,472 tweets from the 3rd of March to the 15th of September, 2022. Our analysis has started with the collection of comments composed of unstructured texts on which we have applied natural language processing solutions. Afterward, we have employed topic modelling and sentiment analysis techniques to obtain a collection of people’s concerns and attitudes toward these pandemics. According to our findings, people's discussions were mostly about malaria, influenza, and tuberculosis and the focus was on the diseases themselves. As regards emotions, the most popular were fear, trust, and disgust where trust is mainly regarding HIV/AIDS tweets.
Keywords
Epidemics; Twitter; Natural Language Processing; Topic Modelling; Sentiment Analysis; ARI; Cholera; Ebola; HIV/AIDS; Influenza; Malaria; Spanish influenza; Swine flu; Tuberculosis; Typhus; Yellow fever; and Zika
Subject
Medicine and Pharmacology, Epidemiology and Infectious Diseases
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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