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Analysis of Perception on Happy Housing Using Blog Mining Technique
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블로그 마이닝을 활용한 행복주택의 인식 분석

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Type
Academic journal
Author
Ji Hyoun Hwang (충북대학교)
Journal
The Korea Contents Society JOURNAL OF THE KOREA CONTENTS ASSOCIATION Vol.22 No.2 KCI Accredited Journals
Published
2022.2
Pages
211 - 223 (13page)

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Analysis of Perception on Happy Housing Using Blog Mining Technique
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Abstract· Keywords

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This study aims to verify the possibility of using the blog mining to collect public opinion in the field of housing policy, thus, it collected blog posts with the keyword "Happy Housing", extracted the main keywords from them, and analyzed the public"s perception through keyword and word cluster analysis. 137,002 blog posts were used as analysis data from May 2013, when social discussion about happy housing spread, to August 2021, and the words derived by dividing the period into three stages in consideration of major housing policies and data collection were analyzed. The results are as follows. In the keyword analysis, overall, the importance of words related to the location, the number, the size, and the conditions for occupancy of Happy Housing is high. In the first stage, government policy implementation, in the second stage, the application process for Happy Housing, and in the third stage, recruitment notices, occupancy qualifications, and rental conditions are found to be highly important. In cluster analysis, project progress, application process, and project area were drawn as main themes at all stages. In particular, policy implementation and implementation plan in the first stage, occupancy qualification and financial support in the second stage, and policy implementation and occupancy qualification in the third stage were drawn as main themes. These results present the possibility of the blog mining as a method of collecting public opinion by sharing policy-related information, reflecting social issues, evaluating whether policies are delivered, and inferring the public"s participation in policies.

Contents

요약
Abstract
I. 서론
Ⅱ. 이론적 배경
Ⅲ. 연구방법
Ⅳ. 연구결과
Ⅴ. 결론
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UCI(KEPA) : I410-ECN-0101-2022-310-001093795