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Ji Yeon An 2 Articles
Analysis of Media Articles on COVID-19 and Nurses Using Text Mining and Topic Modeling
Ji Yeon An, Yun Jeong Yi, Bok Im Lee
J Korean Acad Community Health Nurs. 2021;32(4):467-476.   Published online December 31, 2021
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AbstractAbstract PDF
The purpose of this study is to understand the social perceptions of nurses in the context of the COVID-19 outbreak through analysis of media articles.
Among the media articles reported from January 1st to September 30th, 2020, those containing the keywords ‘[corona or Wuhan pneumonia or covid] and [nurse or nursing]’ are extracted. After the selection process, the text mining and topic modeling are performed on 454 media articles using textom version 4.5.
Frequency Top 30 keywords include ‘Nurse’, ‘Corona’, ‘Isolation’, ‘Support’, ‘Shortage’, ‘Protective Clothing’, and so on. Keywords that ranked high in Term Frequency-Inverse Document Frequency (TF-IDF) values are ‘Daegu’, ‘President’, ‘Gwangju’, ‘manpower’, and so on. As a result of the topic analysis, 10 topics are derived, such as ‘Local infection’, ‘Dispatch of personnel’, ‘Message for thanks’, and ‘Delivery of one’s heart’.
Nurses are both the contributors and victims of COVID-19 prevention. The government and the nurses’ community should make efforts to improve poor working conditions and manpower shortages.


Citations to this article as recorded by  
  • The Need for and Perceptions of Interprofessional Education and Collaboration Among Undergraduate Students in Nursing and Medicine in South Korea
    Hee-Young Song, Kyoung A Nam
    Journal of Multidisciplinary Healthcare.2022; Volume 15: 847.     CrossRef
Health-risk Behaviors and Self-efficacy in Elderly Adolescents
Ji Yeon An, Young Ran Tak
J Korean Acad Community Health Nurs. 2006;17(3):387-396.   Published online September 30, 2006
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AbstractAbstract PDF
No abstract available.

RCPHN : Research in Community and Public Health Nursing