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http://dx.doi.org/10.5805/SFTI.2020.22.5.639

Trend Analysis on Clothing Care System of Consumer from Big Data  

Koo, Young Seok (Dept. of Clothing & Textiles, Pusan National University)
Publication Information
Fashion & Textile Research Journal / v.22, no.5, 2020 , pp. 639-649 More about this Journal
Abstract
This study investigates consumer opinions of clothing care and provides fundamental data to decision-making for oncoming development of clothing care system. Textom, a web-matrix program, was used to analyze big data collected from Naver and Daum with a keyword of "clothing care" from March 2019 to February 2020. A total of 22, 187 texts were shown from the big data collection. Collected big data were analyzed using text-mining, network, and CONCOR analysis. The results of this study were as follows. First, many keywords related to clothing care were shown from the result of frequency analysis such as style, Dryer, LG Electronics, Product, Customer, Clothing, and Styler. Consumers were well recognizing and having an interest in recent information related to the clothing care system. Second, various keywords such as product, function, brand, and performance, were linked to each other which were fundamentally related to the clothing care. The interest in products of the clothing care system were linked to product brands that were also naturally linked to consumer interest. Third, the keywords in the network showed similar attributes from the result of CONCOR analysis that were classified into 4 groups such as the characteristics of purchase, product, performance, and interest. Lastly, positive emotions including goodwill, interest, and joy on the clothing care system were strongly expressed from the result of the sentimental analysis.
Keywords
clothing care; big data; consumer trend; Textom; keyword;
Citations & Related Records
Times Cited By KSCI : 7  (Citation Analysis)
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