텍스트 마이닝과 토픽모델링 분석을 활용한 코로나19와 간호사에 대한 언론기사 분석.

Purpose: 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. Methods: Among the media articles reported from January 1st to September 30th, 2020, those containing the keywords ‘[corona or Wuhan pneumo...

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Published in:Journal of Korean Academy of Community Health Nursing / Jiyeog Sahoe Ganho Hakoeji Vol. 32; no. 4; pp. 467 - 477
Main Authors: 안지연, 이윤정, 이복임
Format: research tables/charts Journal Article
Published: Korean Academy of Community Health Nursing Dec2021
Online Access:View this record in EBSCOhost
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      dt: Dec2021
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      pub: Korean Academy of Community Health Nursing
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        atl: 텍스트 마이닝과 토픽모델링 분석을 활용한 코로나19와 간호사에 대한 언론기사 분석.
      aug:
        au:
          안지연
          이윤정
          이복임
        affil: 경인여자대학교 간호학과 부교수.
      sug:
        subj:
          COVID-19 Pandemic China
          Social Perception
          Data Mining
          Human
          China
          Workforce
          Nurses
          COVID-19 Prevention and Control
          Personnel Shortage
      ab: Purpose: 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. Methods: 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. Results: 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’. Conclusion: 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.
      pubtype: Academic Journal
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      ougenre: Article
    language: Korean
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