서울특별시 권역생활권 별 부동산 뉴스 데이터의 토픽 모델링 및 감성 분석을 통한 트렌드 분석 연구: 아파트와 비(非)아파트 거래량을 중심으로

Real Estate News Data by Living District in Seoul Trend Analysis Research Through Topic Modeling and Sentiment Analysis: Focusing on Apartment and Non-Apartment Transaction Volume

초록

The real estate market in Seoul is predominantly defined by apartment transactions, with distinct transaction patterns for apartments and non-apartments. This study aims to explore the relationship between news sentiment and real estate transaction volumes in Seoul, focusing on how news sentiment impacts market activity. We conducted sentiment analysis and topic modeling based on news data, comparing variations in transaction volumes for apartments and non-apartments across different regions and topics. This research evaluates the characteristics of the real estate market by region and topic, and quantitatively examines how news sentiment affects transaction volume dynamics in both apartment and non-apartment sectors. Additionally, the findings highlight the usefulness of news data for analyzing the real estate market and offer empirical insights for policy making.

키워드

real estate market analysisnews sentiment analysistopic modelingreal estate transaction volume부동산 시장 분석뉴스 감성 분석토픽 모델링부동산 거래량
제목
서울특별시 권역생활권 별 부동산 뉴스 데이터의 토픽 모델링 및 감성 분석을 통한 트렌드 분석 연구: 아파트와 비(非)아파트 거래량을 중심으로
제목 (타언어)
Real Estate News Data by Living District in Seoul Trend Analysis Research Through Topic Modeling and Sentiment Analysis: Focusing on Apartment and Non-Apartment Transaction Volume
저자
윤세영김태훈
DOI
10.5626/KTCP.2026.32.3.89
발행일
2026-03
유형
Y
저널명
정보과학회 컴퓨팅의 실제 논문지
32
3
페이지
89 ~ 104