Journal of the Korean Society of Clothing and Textiles (한국의류학회지)

The Korean Society of Clothing and Textiles (한국의류학회)
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A Study on Keyword Information Characteristics of Product Names for Online Sales of Women's Jeans Using Text Mining

텍스트마이닝을 활용한 온라인 판매 여성 청바지 상품명에 나타난 키워드의 정보 특성 분석

  • Yeo Sun Kang (Dept. of Fashion Design, Duksung Women's University)
  • 강여선 (덕성여자대학교 의상디자인 전공)
  • Received : 2022.08.03
  • Accepted : 2022.12.05
  • Published : 2023.02.28
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Abstract

This study used text mining to extract 2,842 keywords from 7,397 product names and organized them into categories in order to analyze the characteristics of keywords appearing in the product names of jeans after 2020. The item category included denim and Chungbaji [청바지], and Ilja [일자], while the silhouette category included wide and bootcut. In addition, high-waist and banding comprised the making sector, and the materials category consisted of napping, spandex, and soft blue. Denim surpassed the others in frequency, co-occurrence frequency, and centrality, and co-appeared with various other keywords. Also, the co-appearance of item and silhouette was prominent, and there were many keyword combinations that showed characteristics related to (a) high waist; (b) hemline detail; (c) rubber band; and (d) partial tearing. Furthermore, idiom expressions such as 'slim fit' and 'back tearing', which were not highlighted in the co-occurrence frequency, were additionally confirmed through correlation. Therefore, the product name analysis effectively identified the detailed characteristics of the silhouette and the making of jeans preferred by consumers.

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