텍스트 마이닝 기법을 적용한 헤어미용 키워드 도출 분석

• 영문명: Hair Beauty Keyword Derivation Analysis Using Text Mining Technique
• 발행기관: 한국인체미용예술학회
• 저자명: 김소현(So-Hyeon Kim) 이정현(Jeong-Hyun Lee)
• 간행물 정보: 『한국인체미용예술학회지』제25권 제1호, 177~189쪽, 전체 13쪽
• 주제분류: 예술체육 > 예술일반
• 파일형태: PDF
• 발행일자: 2024.03.20

영문 초록

With the rapid growth and development of communication technology, it has been possible to develop diverse digital devices. At the same time, more people have become aware of the importance of online spaces. In fact, diverse data are stored online in realtime, having a significant influence on people’s lives. In particular, ‘texts’ categorized as unstructured data have been influential in diverse fields including personal life. Therefore, text research techniques, methodologies and institutes have appeared. With the popularity of K-beauty around the world, related data in cosmetology industry have also been accumulated on a realtime basis. Under these circumstances, there is a necessity to discuss industrial development through analysis. This study attempted to extract hairstyling-related keywords and analyze top frequency texts, using text mining among diverse big data analysis techniques. The goal is to understand how such texts are connected in awareness of keywords and figure out the current situation of hairstyling industry. It is anticipated that the study results would be available as basic data for big data research. It is also expected that there would be further studies on big data for the development of Korean beauty industry.

목차

Ⅰ. 서론

Ⅱ. 이론적 배경

Ⅲ. 연구방법

Ⅳ. 연구결과

Ⅴ. 결론

키워드

빅데이터 텍스트 마이닝 빅카인즈 헤어미용 키워드 Big Data Text Mining BIGKinds Hair Beauty Key Words