Analysis of News Regarding on Shared Housing Using Text Mining Techniques

Do-Yeon Kim

doi:10.6107/JKHA.2023.34.1.159

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2023 Vol.34, Issue 1 Preview Page

Research Article

Analysis of News Regarding on Shared Housing Using Text Mining Techniques 텍스트 마이닝 기법을 활용한 공유주택 관련 뉴스기사 분석

25 February 2023. pp. 159-169

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Abstract

This study was conducted to explore the development direction of shared housing as a sustainable housing product by exploring the perception of shared housing and related words through Big data analysis and examining the correlation between keywords. Data was collected using Big Kinds, a news search service, and sentiment analysis, text mining analysis, N-gram and network analysis, and CONCOR analysis were performed using TEXTOM and UCINET, which are Big data analyses programs. As a result of the analysis. First, shared housing began to be introduced as a new housing type in late 2010 and began to be supplied in earnest in 2013. Second, the sensibility for shared housing has a liking and interest in the new space, but there is also a sense of rejection of living together. Third, as a result of keyword frequency analysis, the frequency of occurrence of related keywords indicating the residence of shared housing such as youth and single-person households and keywords indicating the characteristics of youth housing policy projects was high. Fourth, CONCOR analysis found significant four cluster characteristics: ‘Share house’, ‘Co-living’, ‘Remodeling social housing’, and ‘Young people rental housing’.

Keywords

공유주택

코리빙

셰어하우스

청년주택

키워드

Shared Housing

Co-living

Share House

Youth Housing

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