텍스트 마이닝 기법을 활용한 온라인 뉴스 기사의 중장년 주거 토픽 분석 = Analysis of Housing Topics for Middle-Aged Adults in Online News Articles Using Text-Mining Techniques

다국어 초록 (Multilingual Abstract)

Middle-aged adults face social isolation and economic insecurity due to limited institutional support, and despite government efforts, their financial, housing, and health challenges persist. This study explored housing welfare support strategies for middle-aged individuals through an analysis of major topics related to "middle-aged housing" in online news articles using text mining techniques. For this purpose, data from Naver articles published between February 2020 and July 2023 were collected and analyzed. The key findings were as follows: term frequency (TF) and term frequency-inverse document frequency (TF-IDF) comparisons revealed that TF focused on social and policy aspects ("support," "youth," "project," "region," "household," "policy," "housing," and "welfare"), highlighting government support characteristics, while TF-IDF emphasized economic aspects ("move-in," "market," "region," "housing," "price," "rise," "subscription," "apartment," "Jeonse," and "sale"), highlighting issues related to the housing market. This suggests that policies to improve housing welfare for middle-aged individuals should consider both social and economic aspects. Network analysis identified six major categories: housing support, support targets, housing economy, job support, housing infrastructure, and health and well-being. Each category was further divided into the following detailed topics: policy support, residential services, economic activities, employment creation, living environment improvement, and personalized health management. These findings indicate the need for comprehensive support that addresses various aspects of middle-aged housing welfare, including family considerations, economic support, social engagement, health, and digital adaptation.