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http://dx.doi.org/10.14400/JDC.2019.17.4.049

Analysis of Real Estate Market Trend Using Text Mining and Big Data  

Chun, Hae-Jung (Department of Global Real Estate, Sangmyung University)
Publication Information
Journal of Digital Convergence / v.17, no.4, 2019 , pp. 49-55 More about this Journal
Abstract
This study is on the trend of real estate market using text mining and big data. The data were collected through internet news posted on Naver from August 2016 to August 2017. As a result of TF-IDF analysis, the frequency was high in the order of housing, sale, household, real estate market, and region. Many words related to policies such as loan, government, countermeasures, and regulations were extracted, and the region - related words appeared the most frequently in Seoul. The combination of the words related to the region showed that the frequencies of 'Seoul - Gangnam', 'Seoul - Metropolitan area', 'Gangnam - reconstruction' and 'Seoul - reconstruction' appeared frequently. It can be seen that the people's interest and expectation about the reconstruction of Gangnam area is high.
Keywords
Real Estate Market; Big Data; Housing; Regulation; Text Mining;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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