빅데이터 분석을 통한 코로나19 시대의 “홈(home)” 트렌드와 패션

Abstract

As the time spent at home has increased due to the COVID-19 pandemic, the home now has more meaning than just a place to eat and sleep. Along with the change in lifestyle in the era of COVID-19, there has also been a change in fashion related to the home. Therefore, this study took the home fashion in the era of COVID-19 as its research subject. The purpose of the study was to determine which characteristics are derived with high frequency in relation to trends and fashion related to the home in the COVID-19 era and what should be noted in these relationships through big data analysis. The specific research results are as follows. First, the word frequency and topic modeling analyses derived and analyzed a total of 5 topics: “home appliances,” “interior,” “physical fitness,” “consumption culture,” and “social gatherings and get-togethers.” Second, the results of organizing and analyzing the keywords related to the home trends in the COVID-19 era by period show that they are mainly related to the food field and thus the personalization trends of the home space, the diversification trends of the home’s functions in relation to the residential environment field, and health- and exercise-oriented trends among the home’s functions. Third, through the analysis of keywords that appeared in articles related to the home in the COVID-19 era, the trend of home-related fashion was largely divided into “health-related fashion,” “work from home-related fashion,” and “multi-purpose fashion.”