2020
DOI: 10.5805/sfti.2020.22.5.551
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Material as a Key Element of Fashion Trend in 2010~2019 : Text Mining Analysis

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Cited by 6 publications
(2 citation statements)
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“…Titton [ 31 ] investigated the cultural relationship between the fashion industry and fashion media from the 19th century to the present, while Lee and Chun [ 32 ] analyzed online fashion media news and classified the values of fashion news based on the key factors of expertise, social importance, timeliness, conflict, and negativity. In the fashion trends context, Jang and Kim [ 6 ] discovered that the fashion material term “functional” was the main trend in fashion textiles between 2010 and 2019. Roozen and Raedts [ 33 ] demonstrated that news articles about environmental issues negatively impacted fast fashion consumers’ attitudes.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Titton [ 31 ] investigated the cultural relationship between the fashion industry and fashion media from the 19th century to the present, while Lee and Chun [ 32 ] analyzed online fashion media news and classified the values of fashion news based on the key factors of expertise, social importance, timeliness, conflict, and negativity. In the fashion trends context, Jang and Kim [ 6 ] discovered that the fashion material term “functional” was the main trend in fashion textiles between 2010 and 2019. Roozen and Raedts [ 33 ] demonstrated that news articles about environmental issues negatively impacted fast fashion consumers’ attitudes.…”
Section: Literature Reviewmentioning
confidence: 99%
“…For example, unstructured text data comprising characters are collected when performing a natural language analysis of news articles, web posts, and e-mails through mathematical analysis and statistical algorithms. For instance, previous studies using text mining techniques in clothing science have analyzed online reviews of service experiences of companies that rent out fashion products [ 5 ], tracked changes in fashion designs based on the fashion-trend forecasting news information over 10 years [ 6 ], and used text mining to classify topics on sustainable fashion based on magazine articles [ 7 ].…”
Section: Introductionmentioning
confidence: 99%