메뉴 건너뛰기
Library Notice
Institutional Access
If you certify, you can access the articles for free.
Check out your institutions.
ex)Hankuk University, Nuri Motors
Log in Register Help KOR
Subject
Humanities
General Humanities History Philosophy Religious Studies Linguistics and Literature Other Humanities
Social science
General Social Science Business Management Tourism Education Military Science Library and Information Science Law Sociology Journalism and Media Studies Psychological Science Political Science and Diplomacy Geography Public Administration Economics International Trade Anthropology Other Social Science
Natural science
General Natural Science Physics Biology Life Sciences Mathematics/Statistics Astronomy Earth Science Chemistry Other Natural Science
Engineering
General Engineering Architectural Engineering Mechanical Engineering Industrial Engineering Material/Energy Engineering Electrical and Electronic Engineering Marine and Ocean Engineering Chemical Engineering Computer Science Other Engineering
Medical science
General Medical Science Nursing Science Veterinary Pharmacy Traditional Korean Medicine Basic Medicine Clinical Medicine Other Medicine
Agriculture and Fishery
General Agriculture and Fishery Agriculture Fishery Science Food Science Forestry Animal Husbandry Marine Transportation Studies Other Agriculture and Fishery
Art and Kinesiology
General Arts Design Fine Arts Cosmetology Photography Music Fashion Kinesiology Performing Media Arts Other Arts and Kinesiology
Interdisciplinary Studies
Interdisciplinary Research Science and Technology Studies Brain and Cognitive Science Technology Policy Other Interdisciplinary Studies

KOR

Changes in Keywords Related to Housing Stress Before and After COVID-19 Using Big Data Analysis - Focusing on newspaper articles during 2018~2022 -
Recommendations
Search
Questions

빅데이터 분석방법론을 활용한 코로나19 전 · 후 주거스트레스 관련 키워드 변화 - 2018~2022년 신문 기사를 중심으로 -

논문 기본 정보

Type
Academic journal
Author
Young-Joo Kim (중앙대학교) In-Sook Jo (상명대학교)
Journal
The Korean Housing Association Journal of the Korean Housing Association Vol.34 No.2 KCI Accredited Journals
Published
2023.4
Pages
27 - 41 (15page)
DOI
10.6107/JKHA.2023.34.2.027

Usage

cover
📌
Topic
📖
Background
🔬
Method
🏆
Result
Changes in Keywords Related to Housing Stress Before and After COVID-19 Using Big Data Analysis - Focusing on newspaper articles during 2018~2022 -
Ask AI
Recommendations
Search
Questions

Abstract· Keywords

Report Errors
The purpose of this study was to explore keyword changes related to housing stress before and after the outbreak of COVID-19 using big data analysis methodology. Newspaper articles for 4 years before and after COVID-19 were collected in relation to housing stress from Naver News platform, and 27,898 keywords were extracted. The collected data was refined using R4.2.2 program and analyzed using vocabulary usage frequency analysis, Odd ratio analysis, Phi analysis, Semantic Network Analysis, and Topic Modeling. Major findings are as follows. 1) After COVID-19, the frequency of occurrence of the keyword ‘residential environment’ was the highest, and ‘housing complex’ was the most important keyword in the semantic network results. 2) The keyword ‘bathroom’ was very highly appeared after COVID-19, reflecting the increased interest in hygiene, health, and safety. 3) As remote education, telecommuting, and care within a dwelling have expanded due to COVID-19, the need for more space and flexible housing planning to accommodate them has been highlighted. 4) While COVID-19 has made daily life more difficult for the vulnerable, it has been confirmed that single-parent households were particularly stressed about housing. 5) The housing stress of young people continued to be at a high level before and after COVID-19. 6) It was confirmed that the increase in housing cost was the main factor causing housing stress.
#Housing Stress #COVID-19 #Semantic Network Analysis #Topic Modeling #주거스트레스 #코로나19 #의미연결망분석 #토픽모델링

Contents

ABSTRACT
I. 서론
II. 이론적 고찰
III. 연구방법
IV. 분석 결과
V. 결론
REFERENCES

References (0)

Add References
If the reference is being serviced by DBpia, please register through [Add Reference]

Recommendations

It is an article recommended by DBpia according to the article similarity. Check out the related articles!

Related Authors

Frequently Viewed Together

Analysis of Resident’s Satisfaction and Its Determining Factors on Residential Environment: Using Zigbang’s Apartment Review Bigdata and Deeplearning-based BERT Model
Kweon ,  Junhyeon ,  Lee Journal of the Korean Regional Science Association 2023 .06
A Study on the Determinants of Resident Satisfaction in Public Rental Housing
Kim ,  Seon Yeo ,  Pa Social Science Research Review 2012 .06
Development of big data-based intelligent marine debris source/existence amount estimation technology
SeungHyun Lee ,  TaeHwan Joung ,  Hongtae Kim 한국해양환경·에너지학회 학술대회논문집 2023 .05
Visual emotion analysis of motion graphics Logo using social media big data analysis
Xu Yang ,  Shin ,  InSik The Treatise on The Plastic Media 2023 .02
Visualization and Cause Analysis of Stagnation Road through Big Data Analysis
Sung Jin Kim ,  Hyun Sik Lee Proceedings of the Korean Society of Computer Information Conference 2023 .01

Recently viewed articles

[P4-17] 미강 분말을 첨가한 naan의 품질특성
아리야니야즈, 임채윤, 강우원The korean Society of Food Science and Nutrition2010.10
 An analysis of marriage-migrant women’s practice experience in multicultural education
Yim Hae Jung2018

Comments(0)

0

Write first comments.