Journal of muscle and joint health (근관절건강학회지)

Korean Society of Muscle and Joint Health (대한근관절건강학회)
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Comparison of Topics Related to Nurse on the Internet Portals and Social Media Before and During the COVID-19 era Using Topic Modeling

토픽 모델링을 활용한 COVID-19 발생 전후 간호사 관련 토픽 비교: 인터넷 포털과 소셜미디어를 중심으로

  • Received : 2020.10.16
  • Accepted : 2020.12.03
  • Published : 2020.12.31
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Abstract

Purpose: The purpose of this study is to compare topics through keywords related to nurses in internet portals and social media Pre coronavirus disease (COVID-19) era and during the COVID-19 era. Methods: For six months before and during the outbreak of COVID-19 in Korea, "nurse" was searched on the internet. For data collection, we implemented web crawlers in programming languages such as Python and collected keywords. The keywords collected were classified into three domains of topic Modeling. Results: The keyword 'nurse' increased by 15% during COVID-19 era. Keywords that ranked high in Term Frequency - Inverse Document Frequency (TF-IDF) values were before COVID-19, such as "nurse" and "C-section". during COVID-19, however, they were not only "nurse" but also "emergency" and "gown" related to pandemics. Conclusion: Various topics were being uploaded into the internet media. Nursing professionals should be interested in the text that is revealed in the internet media and try to continuously identify and improve problems.

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Acknowledgement

본 논문은 2020년도 서일대학교 학술연구비에 의해 연구되었음.

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