$\require{mediawiki-texvc}$

연합인증

연합인증 가입 기관의 연구자들은 소속기관의 인증정보(ID와 암호)를 이용해 다른 대학, 연구기관, 서비스 공급자의 다양한 온라인 자원과 연구 데이터를 이용할 수 있습니다.

이는 여행자가 자국에서 발행 받은 여권으로 세계 각국을 자유롭게 여행할 수 있는 것과 같습니다.

연합인증으로 이용이 가능한 서비스는 NTIS, DataON, Edison, Kafe, Webinar 등이 있습니다.

한번의 인증절차만으로 연합인증 가입 서비스에 추가 로그인 없이 이용이 가능합니다.

다만, 연합인증을 위해서는 최초 1회만 인증 절차가 필요합니다. (회원이 아닐 경우 회원 가입이 필요합니다.)

연합인증 절차는 다음과 같습니다.

최초이용시에는
ScienceON에 로그인 → 연합인증 서비스 접속 → 로그인 (본인 확인 또는 회원가입) → 서비스 이용

그 이후에는
ScienceON 로그인 → 연합인증 서비스 접속 → 서비스 이용

연합인증을 활용하시면 KISTI가 제공하는 다양한 서비스를 편리하게 이용하실 수 있습니다.

텍스트 마이닝과 토픽모델링 분석을 활용한 코로나19와 간호사에 대한 언론기사 분석
Analysis of Media Articles on COVID-19 and Nurses Using Text Mining and Topic Modeling 원문보기

지역사회간호학회지 = Journal of korean academy of community health nursing, v.32 no.4, 2021년, pp.467 - 476  

안지연 (경인여자대학교 간호학과) ,  이윤정 (경인여자대학교 간호학과) ,  이복임 (울산대학교 간호학과)

Abstract AI-Helper 아이콘AI-Helper

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...

주제어

참고문헌 (25)

  1. Hyun JH, Kim JH, Lee HY, Gwack J, Kim JE, Lee EY, et al. Contact tracing results of the first confirmed COVID-19 case in the Republic of Korea. Weekly Health and Disease. 2020;13(7):352-358. 

  2. Misistry of Health and Welfare. Corona 19 outbreak status (overseas) [internet]. Daejeon: Ministry of Health and Welfare; c2021 [cited 2021, June 9]. Available from: http://ncov.mohw.go.kr/bdBoardList_Real.do?brdId1&brdGubun14&ncvContSeq&contSeq&board_id&gubun 

  3. Ministry of Health and Welfare. Corona 19 Domestic Occurrence. [internet]. Deajeon: Ministry of Health and Welfare; c2021 [cited 2021 June 9]. Available from: http://ncov.mohw.go.kr/bdBoardList_Real.do 

  4. Korea Disease Control and Prevention Agency. Corona 19 Vaccination Status. [Internet]. Chungju: Korean Disease Control and Prevention Agency; c2021 [cited 2021 June 0], Available from: https://kdca.go.kr/board/board.es?mida20501000000&bid0015&list_no713602&actview 

  5. Im SH. This is South America. It's the fastest vaccination, but it's the world's No. 1 infection rate. What's going on in this country? Nownews. 2021 April 7. 

  6. Giuliani E, Lionte G, Ferri P, Barbieri A. The burden of not-weighted factors-Nursing workload in a medical Intensive Care Unit. Intensive and Critical Care Nursing. 2018;47:98-101. https://doi.org/10.1016/j.iccn.2018.02.009 

  7. Reper P, Bombart MA, Leonard I, Payen B, Darquennes O, Labrique S. Nursing activities score is increased in COVID-19 patients. Intensive & Critical Care Nursing. 2020;60:102891. https://doi.org/10.1016/j.iccn.2020.102891 

  8. Yu SY. What is perceived the image of nurses? Comparison major and non-major students. Journal of Digital Convertgence. 2014;12(10):353-361. https://doi.org/10.14400/JDC.2014.12.10.353 

  9. Kalisch PA, Kalisch BJ. The changing Image of the Nurse. Menlo Park, CA: Addision-Wesley Publishing Co.; 1987. 

  10. Park SA, Park SJ, Lee C, Yun M, Hwang K. Image of nurses portrayed in internet newspapers. Culture and Convergence. 2017;39(6):677-700. https://doi.org/10.33645/cnc.2017.12.39.6.677 

  11. Yoon YM, Kim SK, Kim HK, Kim EJ, Jeong Y. Comparison of topics related to nurse on the internet portals and social media before and during the COVID-19 era using topic modeling. Journal of Muscle and Joint Health. 2020;27(3):255-267. https://doi.org/10.5953/JMJH.2020.27.3.255. 

  12. Seo D. Get It! Textmining with Python. Seoul: BJ Public; 2019. 204 p. 

  13. Blei DM, Ng AY, Jordan MI. Latent Dirichlet allocation. Journal of Machine Learning Research. 2003;3:993-1022. 

  14. Jelodar H, Wang Y, Yuan C, Feng X, Jiang X, Li Y, et al. Latent Dirichlet allocation (LDA) and topic modeling: Models, applications, a survey. Multimedia Tools and Applications. 2019; 78:15169-15211. https://doi.org/10.1007/s11042-018-6894-4 

  15. DiMaggio P, Nag M, Blei D. Exploiting affinities between topic modeling and the sociological perspective on culture: Application to newspaper coverage of US government arts funding. Poetics. 2013;41(6):570-606. https://doi.org/10.1016/j.poetic.2013.08.004 

  16. Bennett CL, James AH, Kelly D. Beyond tropes: Towards a new image of nursing in the wake of COVID-19. Journal of Clinical Nursing. 2020;29(15-16):2753-2755. https://doi.org/10.1111/jocn.15346 

  17. Atique S, Bautista JR, Block LJ, Lee JJJ, Lozada-Perezmitre E, Nibber R, et al. A nursing informatics response to COVID-19: Perspectives from five regions of the world. Journal of Advanced Nursing. 2020;76:2462-2468. https://doi.org/10.1111/jan.14417 

  18. Jackson D, Bradbury-Jones C, Baptiste D, Gelling L, Morin K, Neville S, et al. Life in the pandemic: Some reflections on nursing in the context of COVID-19. Journal of Clinical Nursing. 2020;29(13-14):2041-2043. https://doi.org/10.1111/jocn.15257 

  19. Shin KR. COVID-19 counter measures and action plan for improvement of nursing treatment. HIRA Research. 2021;1(1):103-107. https://doi.org/10.52937/hira.21.1.1.103 

  20. Blue House National Petition. Please don't let the nurses at the Corona-19 quarantine health center collapse from exhaustion [internet]. Seoul: Blue House; c2021 [cited 2021, June 29]. Available from: https://www1.president.go.kr/petitions/599451 

  21. Jiang Y. Psychological impact and coping strategies of frontline medical staff in Hunan between January and March 2020 during the outbreak of Coronavirus Disease 2019 (COVID-19) in Hubei, China. Medical Science Monitor. 2020;26:e924171-1-e924171-16. https://doi.org/10.12659/MSM.924171 

  22. Hwang N. Experience of COVID-19 in armed forces Daegu hospital. Journal of Military Nursing Research. 2020;38(2):68-73. https://doi.org/10.31148/kjmnr.2020.38.2.68 

  23. Lucchini A, Giani M, Elli S, Villa S, Rona R, Foti G. Nursing activities score is increased in COVID-19 patients. Intensive & Critical Care Nursing. 2020;59:102876. https://doi.org/10.1016/j.iccn.2020.102876 

  24. Oh EG. Perspectives on nursing profession for a post-COVID19 new normal. Korean Journal of Adult Nursing. 2020;32(3):221-222. https://doi.org/10.7475/kjan.2020.32.3.221 

  25. Park S, Do K, Kim H, Park G, Yun J, Kim K. An exploratory study of happiness and unhappiness among Korean based on text mining techniques. The Journal of the Korea Contents Association. 2018;18(7):10-27. https://doi.org/10.5392/JKCA.2018.18.07.010 

저자의 다른 논문 :

섹션별 컨텐츠 바로가기

AI-Helper ※ AI-Helper는 오픈소스 모델을 사용합니다.

AI-Helper 아이콘
AI-Helper
안녕하세요, AI-Helper입니다. 좌측 "선택된 텍스트"에서 텍스트를 선택하여 요약, 번역, 용어설명을 실행하세요.
※ AI-Helper는 부적절한 답변을 할 수 있습니다.

선택된 텍스트

맨위로