Abstract
The purpose of this study was to investigate consumer trends and perceptions of home furnishing in the COVID-19 pandemic using social media data and online news and provide fundamental data to decision-makers for the development of home furnishing products. Text mining and network analysis were employed to extract meaningful words related to home furnishing and reveal the relationships among them. The text data were collected from blogs and online news searched by Naver and Daum with the keyword
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