산업경영시스템학회지 (Journal of Korean Society of Industrial and Systems Engineering)

  • 제44권2호
  • /
  • Pages.66-77
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  • 2021
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  • 2005-0461(pISSN)
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  • 2287-7975(eISSN)
한국산업경영시스템학회 (Society of Korea Industrial and System Engineering)
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텍스트 마이닝을 활용한 사용자 핵심 요구사항 분석 방법론 : 중국 온라인 화장품 시장을 중심으로

A Methodology for Customer Core Requirement Analysis by Using Text Mining : Focused on Chinese Online Cosmetics Market

  • 신윤식 (한양대학교 일반대학원 경영컨설팅학과) ;
  • 백동현 (한양대학교 경상대학 경영학부)
  • Shin, Yoon Sig (Graduate School of Management Consulting, Hanyang University) ;
  • Baek, Dong Hyun (Department of Business Adminstration, Hanyang University)
  • 투고 : 2021.05.17
  • 심사 : 2021.06.11
  • 발행 : 2021.06.30
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초록

Companies widely use survey to identify customer requirements, but the survey has some problems. First of all, the response is passive due to pre-designed questionnaire by companies which are the surveyor. Second, the surveyor needs to have good preliminary knowledge to improve the quality of the survey. On the other hand, text mining is an excellent way to compensate for the limitations of surveys. Recently, the importance of online review is steadily grown, and the enormous amount of text data has increased as Internet usage higher. Also, a technique to extract high-quality information from text data called Text Mining is improving. However, previous studies tend to focus on improving the accuracy of individual analytics techniques. This study proposes the methodology by combining several text mining techniques and has mainly three contributions. Firstly, able to extract information from text data without a preliminary design of the surveyor. Secondly, no need for prior knowledge to extract information. Lastly, this method provides quantitative sentiment score that can be used in decision-making.

키워드

과제정보

This work was supported by the research fund of Hanyang University(HY-2020-G).

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