Human Ecology Research

  • 제61권4호
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  • Pages.687-707
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  • 2023
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  • 2982-5725(pISSN)
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  • 2982-6608(eISSN)
대한가정학회 (The Korean Home Economics Association)
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중고의류와 중고명품 구매 관련 언론 보도 빅데이터 분석: 텍스트마이닝을 활용한 사회적 인식과 현황 파악

Big Data Analysis of News on Purchasing Second-hand Clothing and Second-hand Luxury Goods: Identification of Social Perception and Current Situation Using Text Mining

  • 유화숙 (울산대학교 의류학전공)
  • Hwa-Sook Yoo (Department of Clothing & Textiles, University of Ulsan)
  • 투고 : 2023.10.16
  • 심사 : 2023.11.10
  • 발행 : 2023.11.30
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초록

This study was conducted to obtain useful information on the development of the future second-hand fashion market by obtaining information on the current situation through unstructured text data distributed as news articles related to 'purchase of second-hand clothing' and 'purchase of second-hand luxury goods'. Text-based unstructured data was collected on a daily basis from Naver news from January 1st to December 31st, 2022, using 'purchase of second-hand clothing' and 'purchase of second-hand luxury goods' as collection keywords. This was analyzed using text mining, and the results are as follows. First, looking at the frequency, the collection data related to the purchase of second-hand luxury goods almost quadrupled compared to the data related to the purchase of second-hand clothing, indicating that the purchase of second-hand luxury goods is receiving more social attention. Second, there were common words between the data obtained by the two collection keywords, but they had different words. Regarding second-hand clothing, words related to donations, sharing, and compensation sales were mainly mentioned, indicating that the purchase of second-hand clothing tends to be recognized as an eco-friendly transaction. In second-hand luxury goods, resale and genuine controversy related to the transaction of second-hand luxury goods, second-hand trading platforms, and luxury brands were frequently mentioned. Third, as a result of clustering, data related to the purchase of second-hand clothing were divided into five groups, and data related to the purchase of second-hand luxury goods were divided into six groups.

키워드

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