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2022 Vol.33, Issue 5 Preview Page

Research Article

A Text Mining and Network Analysis of Trends in Housing Welfare of the Elderly Since an Outbreak of COVID-19

텍스트마이닝과 의미 네트워크 분석기법을 활용한 코로나 19 발생 이후 노인 주거복지 연구 동향

Yoon-Seo Hwang*
,
Hyun-Jeong Lee**
황윤서 *
,
이현정 **
*정회원(주저자), 충북대학교 생활과학연구소 전임연구원, 이학박사
**정회원(교신저자), 충북대학교 주거환경학과 교수, Ph.D
Corresponding AuthorHyun-Jeong Lee, Dept. of Housing and Interior Design, Chungbuk National University, Chungdae-ro 1, Seowon-gu, Cheongju, Chungbuk 28644 Korea. E-mail: hlee@ cbnu.ac.kr
25 October 2022. pp. 089-097
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Abstract

This study aims to analyze the main trends of housing welfare research for the elderly after COVID-19 and to comprehensively grasp the recent changes in research topics in the housing welfare field for the elderly. Web crawling was used for KCI domestic journal papers published between March 2020 and September 2021 after the outbreak of COVID-19, and text mining and network analysis were applied to analyze them. Top keywords (housing, service, community, city, facility, friendly, health, satisfaction, depression, policy, rural, safety, improvement, rental, supply, apartments, relationships, communities, public, etc.) in text mining were predominant terms related to local-friendly housing supply and service. As a result of performing a network analysis by constructing a co-occurrence matrix to figure out the overall relationship between each keyword, 68 keywords related to housing welfare for the elderly. The five main issues derived were ‘housing condition,’ ‘community activation,’ ‘elements of housing plan and evaluation,’ ‘improvement housing plan,’ and ‘housing welfare service and delivery system.’ It was confirmed that the elderly housing welfare study was about the elderly-friendly housing plan in the community and policy support for its implementation.

Keywords
Elderly
Elderly Housing Welfare
Text Mining
Network Analysis
Research Trends
COVID-19
키워드
노인
노인주거복지
텍스트마이닝
네트워크 분석
연구 동향
코로나 19
References
1
Chang, J. Y. (2015). Convergence of education and information & communication technology: a study on the communication characteristics of SNS affecting relationship development between Professor and Student. Journal of the Korea Convergence Society, 6(6), 213-219. 10.15207/JKCS.2015.6.6.213
2
Choi B. G. (2016). Google Starts Translation Using Artificial Intelligence Against Lee Sedol [구글, 이세돌과 겨룬 인공지능 활용 번역 시작]. Yonhap News. Retrieved from https://www.yna.co.kr/view/AKR20160928160100017
3
Choi, H. H., & Shim, D. N. (2020). Analysis of Korean ICT convergence trend using text mining methodology. Innovation studies, 15(3), 257-281. 10.46251/INNOS.2020.08.15.3.257
4
Chung, Y. C., & Cheon, M. K. (2021). Social big data trend analysis based on health and welfare issues in 2021. Sejong: Korea Institute for Health and Social Affairs.
5
Current status and examples of data use to respond to COVID-19 (2020. August). Korea Internet & Security Agency (KISA) Monthly Trend Report, 8, 1-11.
6
Han, J. H., & Han, G. Y. (2021). Analysis of research trends related to online classes after COVID-19 using text mining. Studies in English Language & Literature, 47(3), 171-194.
7
Hearst, M. A. (2003). What Is Text Mining? Retrieved from https://people.ischool.berkeley.edu/~hearst/text-mining.html
8
Hwang, D. R., & Hwang, G. E. (2016). Examining of semantic map of humanities contents through semantic network analysis: Published articles in the human contents association published for the past 13 Years. Korea Humanities Content Society, 43, 229-255. 10.18658/humancon.2016.12.43.229
9
Hwang, G. E., & Moon, S. J. (2017). Analysis of big data by regimes of image contents field. Journal of Digital Contents Society, 18(5), 911-921
10
Hwang, G. R., Kim, J. G., Lee M. Y., & Kim N. Y. (2015). A study on the residential protection system for the elderly centered on the community. Gyeonggi: Gyeonggi Welfare Foundation.
11
Hwang, S. I, Park, J. B., & Kim, M. K. (2020). An analysis of humanities contents related studies' trends in Korea : focused on topic modeling and semantic network analysis. Journal of Korea Humanities Content Society, 56, 123-141. 10.18658/humancon.2020.03.123
12
Hwang, S. I., & Hwang, D. R. (2018) A study on the research trends in arts management in Korea using topic modeling and semantic network analysis. Journal of Arts Management and Policy, 47, 5-29. 10.52564/JAMP.2018.47.5
13
Jeong, B. K., & Lee, H. K. (2016). Research topics in industrial engineering 2001~2015. Journal of the Korean Institute of Industrial Engineers, 42(6), 421-431. 10.7232/JKIIE.2016.42.6.421
14
Ju, H. J., & Park, H. J. (2022). Analysis of research trends on non-face-to-face education in higher education during COVID-19 pandemic using text mining. The Journal of Learner-Centered Curriculum and Instruction, 22(6), 321-333. 10.22251/jlcci.2022.22.6.321
15
Juwono, C. N., Choi, B. S., & Park, J. A. (2020). Analysis of Interior Trend in One-room and Officetel based on 'Today's House' Application for Single Occupants. Journal of the Korean Housing Association, 32(3), 11-20. 10.6107/JKHA.2021.32.3.011
16
Kim, D. H, Kim, M. K., Jung, E. J., & Jang, M. S. (2022). Trend Analysis of the Previous Domestic Research on Green Building Certifications. Journal of the Korean Housing Association, 33(1), 151-159. 10.6107/JKHA.2022.33.1.151
17
Kim, N. J. (2021). How to bridge the digital divide in non-face-to-face society. Seoul Welfare Foundation Welfare Issue Today, 103, p. 6. Retrieved from https://www.welfare.seoul.kr/web/contents/archive1-1.do?&schM=view&page=2&viewCount=9&id=19123&schBdcode=&schGroupCode=
18
Kim, S. J., & Huh, S. I. (2011). Financial burden of health care expenditures and unmet needs by socioeconomic status. The Korean Journal of Health Economics and Policy, 17(1), 47-70.
19
Kim, S. M, & Kim, Y. I. (2020). 2020 National health insurance statistical yearbook. Suwon: Health Insurance Review and Assessment Service & National Health Insurance Service.
20
Kim, T. W., & Jang M. S. (2021). Changes in housing behaviors of young single person households by COVID-19. Journal of the Korean Housing Association, 32(6), 81-90. 10.6107/JKHA.2021.32.6.081
21
Kim, Y. M. (2020). The reality of work-family balance in Korea amid COVID-19, Will it end as a crisis or turn into an opportunity for change? Monthly Public Policy, 174, 56-59.
22
Lee, H. (2018). Smart city seen through big data: focusing on news network analysis. Korea Information Society Development Institute (KISDI) STAT Report, 18-23, pp. 1-8. Retrieved from https://www.kisdi.re.kr/report/view.do?key=m2101113025790&arrMasterId=4333447&masterId=4333447&artId=554273
23
Lee, J. W. (2021). Changes and challenges of community welfare in the new normal era of COVID-19. Seoul Welfare Foundation Welfare Issue Today, 103, p. 7. Retrieved from https://www.welfare.seoul.kr/web/contents/archive1-1.do?&schM=view&page=2&viewCount=9&id=19123&schBdcode=&schGroupCode=
24
Lee, S. S. (2014). A content analysis of journal articles using the language network analysis methods. Korea Society for Information Management, 31(4), 49-68. 10.3743/KOSIM.2014.31.4.049
25
Lee, S. Y., & Kim, Y. J. (2020). Systematic review of housing research using digital network analysis. Journal of the Korean Housing Association, 31(3), 49-60. 10.6107/JKHA.2020.31.3.049
26
Ministry of Health and Welfare (MOHW) (2018). Master Plan for local Community Integrated Care : (Step 1) Focusing on elderly community care [지역사회 통합 돌봄 기본계획: 1단계 노인 커뮤니티케어 중심]. Sejong: Author.
27
Noh, K. S., & Lee, J. Y. (2015). A study on analysis of the differences for perception of big data in era of convergence. Journal of Digital Convergence, 13(10), 305-312. 10.14400/JDC.2015.13.10.305
28
Park, C. S., & Chung, C. W. (2013). Text network analysis: detecting shared meaning through socio-cognitive networks of policy stakeholders. Journal of Governmental Studies, 19(2), 73-108.
29
Park, G. B. (2021). "86 trillion won in health insurance medical expenses in last year… The elderly account for '43%'" [지난해 건강보험 진료비 86조원… 고령층 '43%' 차지]. Newdaily Economy. Retrieved from https://biz.newdaily.co.kr/site/data/html/2021/11/04/2021110400178.html
30
Park, J. H, Lee, Y. S., & Ahn, S. M. (2018). Recent trends and characteristics of supportive housing research: focused on 2009-2016 international research articles of medical service database. Journal of the Korean Housing Association, 28(2), 1-12. 10.6107/JKHA.2017.28.2.001
31
Park, J. H., & Song, M.. (2013). A Study on the research trends in library & information science in Korea using topic modeling. Journal of the Korean Society for Information Management, 30(1). 7-32. 10.3743/KOSIM.2013.30.1.007PMC3903799
32
Park, Y. Y., Kim, I. S., & An, O. H. (2018). A study on the Korean research trends analysis of Jjokbang. Proceedings of Autumn Annual Conference of Korean Housing Association, Vol. 30, No. 2 (pp. 414-417), Seoul, Korea.
33
R2Korea (2019). 2019 Real Estate Trend Forecast Report. Residential Market Report [2019 부동산트렌드 전망 보고서]. Seoul: Author. Retrieved from http://www.r2korea.co.kr/web/marketReport/view.asp?bno=4&num=558
34
Ryu, Y. S. (2022). "Can I get a national pension?"… 2030 'Noisy' at the time of rapid depletion ["국민연금 탈 수는 있나요?"…빨라지는 고갈 시점에 2030 '시끌']. Mail Business News Korea. Retrieved from https://www.mk.co.kr/news/economy/view/2022/08/716839/
35
Seo J. Y., & Koh, C. (2014). Big data analysis by sensitivity analysis. Journal of the Society of Convergence Knowledge, 2(1), 15-21. 10.1109/TBDATA.2015.2469391
36
Seo, D. H., & Han, J. E. (2018). Topic modeling approach to the analysis of the consumer perception on home furnishing brand: focused on IKEA Korea and Hanssem. Design Convergence Study, 17(6), 229-243. 10.31678/SDC.73.15
37
Seo, J. N. (2021). Time to consider the new standard strategy with 'visiting care service' and 'self-care' for elderly households. Seoul Welfare Foundation Welfare Issue Today, 103, pp. 10-11. Retrieved from https://www.welfare.seoul.kr/web/contents/archive1-1.do?&schM=view&page=2&viewCount=9&id=19123&schBdcode=&schGroupCode=
38
Shin Y. G., Nam, K. C., & Kim, H. J. (2019). Development of a manual for operation program of care safe housing. Sejong: Ministry of Health and Welfare.
39
Shin, D. H., & Kim, S. H. (2020). How have international students in Korea been studied?: application of text mining and topic modeling to understand research trends. Korean Journal of Educational Research, 58(1), 333-3611. 10.30916/KERA.58.1.333
40
Statistics Korea (2019). Press release: Future household forecast 2017-2047 [보도자료: 장래가구추계 2017~2047]. Daejeon: Author.
41
Statistics Korea (2021) Press release: Statistics for older people 2021 [보도자료: 2021 고령자 통계]. Daejeon: Author.
42
Wang, Z. Y., Cho, J. Y., & Hong, Y. K. (2021). A comparative study of research trends in residential design for the elderly in domestic and international research using co-occurrence analysis: focusing on web of science core collection & the KCI-Korean journal database. Journal of the Korean Housing Association, 32(6), 47-57. 10.6107/JKHA.2021.32.6.047
43
Wetsman, N. (2021). Google Translate still isn't good enough for medical instructions. The Verge, Retrieved from https:// www.theverge.com/2021/3/9/22319225/google-translate-medical-instructions-unreliable
44
Yang, H. J., Kim, S. A, Hwang, E. K., & Lee, J. H. (2018). Study on development direction of smart housing based on smart home technology trend analysis. Proceedings of Autumn Annual Conference of Korean Housing Association, Vol. 30, No. 2 (p. 353), Seoul, Korea.
45
Yu, B. S., & Kim, N. Y. (2014). Elderly living, nursing facility system and case study. Gyeonggi: Gyeonggi Welfare Foundation.
46
Yun, Y. D., Jo, J. C., Hur, Y. N., & Lim, H. S. (2017). A comparative analysis of cognitive change about big data using social media data analysis. KIPS transactions on software and data engineering, 6(7), 371-378.
Information
  • Publisher :The Korean Housing Association
  • Publisher(Ko) :한국주거학회
  • Journal Title :Journal of the Korean Housing Association
  • Journal Title(Ko) :한국주거학회논문집
  • Volume : 33
  • No :5
  • Pages :089-097
  • Received Date : 2022-08-22
  • Revised Date : 2022-09-16
  • Accepted Date : 2022-09-19
  • DOI :https://doi.org/10.6107/JKHA.2022.33.5.089
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