Earticle

초록

영어

This study aims to analyze the network structure of keywords related to personal color diagnosis using big data and explore color diagnosis trends and changes in consumer perception. Data from online platforms such as Naver, Daum, and Google were collected via Textom and subjected to text mining, TF-IDF, N-gram, and CONCOR analyses. The analysis revealed key keywords such as personal color, diagnosis, makeup, recommendations, and reviews. Consumer perceptions were clustered into the following four types. First, diagnosis utilization was for social purposes such as job hunting, interviews, and events. Second, diagnosis marketing was defined as service provision, including centers, programs, experiences, and consultations. Third, diagnosis content was categorized into specific diagnosis elements such as tone (cool/warm), cosmetics, hair dyeing, and season. Fourth, diagnosis services were defined as user experiences and procedures, including results, reviews, reservations, prices, and consulting. Through this analysis, this study confirmed that personal color goes beyond mere beauty and is becoming a standard for social interaction and rational consumption. It is significant in that it provides basic data for the development of an objective, data-based diagnostic system and the establishment of customized marketing strategies.

중국어

本研究旨在利用大数据分析与个人色彩诊断相关关键词的网络结构探究色彩诊断趋 势及消费者认知变化通过 Textom 工具收集 NaverDaumGoogle 等在线平台数据 进行文本挖掘TFIDFNgramCONCOR 分析分析结果显示主要关键词包括个人色 彩诊断化妆推荐评价等消费者认知可归纳为以下 4种类型第一种是诊断实用 用于就业面试活动等社会目的第二种是诊断营销以中心项目体验咨询等服务 形式呈现第三种是诊断内容区分色调冷调 / 暖调化妆品染发季节等具体诊断 要素第四种是诊断服务包括结果评价预约价格咨询等使用体验与流程 本研究通过上述分析证实了个人色彩已超越单纯美容范畴成为社会互动与理性消费的判 断标准本研究意义在于为今后开发基于数据的客观诊断系统制定定制化营销策略提供基 础资料

목차

Abstract
I. 서론
II. 이론적 배경
1. 퍼스널컬러진단
2. 퍼스널컬러진단 관련 빅테이터 텍스터마이닝 선행연구
III. 연구 방법
1. 연구문제
2. 분석 대상 및 범위
3. 분석방법 및 절차
IV. 결과 및 고찰
1. 퍼스널컬러진단 관련 키워드 빈도분석
2. N-gram 분석
3. 의미연결망 분석
V. 결론
참고문헌
中文摘要

키워드

저자

• 우미옥 [ Mi-Ock, Woo | 창신대학교 미용예술학과 교수 ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  국제보건미용학회지 [Journal of Health and Beauty]

• 간기

  계간

• pISSN

  2005-369X

• eISSN

  2765-1347

• 수록기간

  2007~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 593 DDC 646