Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study

Abstract

About

This paper, published in 1950, received 306 indexed citations. Written by Sakun Boon‐itt covering the research area of Epidemiology, Sociology and Political Science and Health. It is primarily cited by scholars working on Sociology and Political Science (199 citations), Artificial Intelligence (139 citations) and Communication (65 citations). Published in JMIR Public Health and Surveillance.

In The Last Decade

doi.org/10.2196/21978 →

Countries where authors are citing Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study

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Citations

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Fields of papers citing Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study.

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This paper is also available at doi.org/10.2196/21978.

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