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논문 기본 정보

자료유형
학술저널
저자정보
주정아 (전주대학교) 심준영 (전주대학교)
저널정보
한국생활과학회 한국생활과학회지 한국생활과학회지 제32권 제5호
발행연도
2023.10
수록면
609 - 620 (12page)
DOI
10.5934/kjhe.2023.32.5.609

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초록· 키워드

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This study aimed to collect basic data for the development of detailed laundry courses using text mining from Q&A in Naver Knowledge-in, which are related to laundry by clothing submission.
First, after organizing 30 terms that appear frequently in coat washing, padding (down jacket) washing, fleece washing, knit washing, jeans washing, and leggings washing, various terms such as ‘laundry’, ‘dry cleaning’, ‘washing machine’, ‘water washing’, ‘hand washing’, ‘detergent’, ‘exclusive detergent’, ‘odor’, ‘stain’, ‘dye’, and ‘cold water’ were extracted.
Second, after organizing the extracted terms, they were classified into common terms and terms that appeared uniquely according to the type of clothing. Common terms included laundry-related terms, detergent-related terms, and problem-related terms. In the case of coat washing, there were terms such as ‘storage’, ‘mold’, and ‘damage’. In padding (down jacket) washing, there appeared terms such ‘filler’ and ‘drying’, and in fleece, there was ‘dust’, ‘lint’, and ‘fabric softener’. In the case of knitwear, ‘shrinkage’, ‘deformation’, and ‘hanger’ were extracted along with various water conditions such as ‘room temperature water’ and ‘cold water’. Jeans had terms related to color such as ‘discoloration’, ‘dyeing’, and ‘washing’. In the case of leggings, accessories such as ‘logos’ and ‘zippers’ were extracted along with terms such as ‘women’, ‘skin’, and ‘underwear’.

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Abstract
Ⅰ. 서론
Ⅱ. 연구 방법
Ⅲ. 연구 결과 및 논의
Ⅳ. 결론 및 제언
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