뉴스 빅데이터를 활용한 부동산시장의 인식에 대한 연구

정책 기조 변화를 중심으로

Real estate is a complex interdisciplinary study, and it is very difficult to analyze and interpret the relationship between macroscopic and microscopic phenomena in society because they are interdependently connected. With the recent rapid development of big data technology and tools, text mining studies, which collect and analyze texts, which are unstructured data, to derive meaningful information are being used in real estate policy-related research. The real estate market reflects not only macroeconomic conditions such as income and interest rates, but also the movements of real estate market participants. When evaluating the effectiveness of the media, it is necessary to analyze the media as well. Therefore, this study analyzes the difference in trends in the real estate market by dividing it into before and after Corona how news reports express social issues and market conditions on the housing market using text-mining, one of the unstructured data analysis methods. to check it. It is considered that this study can be used as basic data for research on the perception of real estate and housing markets.