뉴스 빅데이터를 활용한 부동산시장의 인식에 대한 연구

• 영문명: Comparative A study on the perception of the real estate market using news big data: Focusing on the change of policy
• 발행기관: 한국도시부동산학회(구.도시정책학회)
• 저자명: 정홍 남진
• 간행물 정보: 『도시정책학회 학술대회 논문집』2022년 춘계학술대회 논문집, 1~19쪽, 전체 19쪽
• 주제분류: 사회과학 > 정책학
• 파일형태: PDF
• 발행일자: 2022.11.30

영문 초록

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.

목차

Ⅰ. 서론

Ⅱ. 이론적 고찰 및 선행연구 검토

Ⅲ. 연구방법

Ⅳ. 분석 결과

Ⅴ. 결론

참고문헌

키워드

텍스트마이닝 부동산시장 뉴스 Textmining Real-estate market News