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Analysis of User Requirements Prioritization Using Text Mining : Focused on Online Game

텍스트마이닝을 활용한 사용자 요구사항 우선순위 도출 방법론 : 온라인 게임을 중심으로

  • Jeong, Mi Yeon (Department of Management Consulting, Graduate School of Hanyang University) ;
  • Heo, Sun-Woo (Department of Management Consulting, Graduate School of Hanyang University) ;
  • Baek, Dong Hyun (Department of Business Administration, Hanyang University)
  • 정미연 (한양대학교 일반대학원 경영컨설팅학과) ;
  • 허선우 (한양대학교 일반대학원 경영컨설팅학과) ;
  • 백동현 (한양대학교 경상대학 경영학부)
  • Received : 2020.09.07
  • Accepted : 2020.09.21
  • Published : 2020.09.30

Abstract

Recently, as the internet usage is increasing, accordingly generated text data is also increasing. Because this text data on the internet includes users' comments, the text data on the Internet can help you get users' opinion more efficiently and effectively. The topic of text mining has been actively studied recently, but it primarily focuses on either the content analysis or various improving techniques mostly for the performance of target mining algorithms. The objective of this study is to propose a novel method of analyzing the user's requirements by utilizing the text-mining technique. To complement the existing survey techniques, this study seeks to present priorities together with efficient extraction of customer requirements from the text data. This study seeks to identify users' requirements, derive the priorities of requirements, and identify the detailed causes of high-priority requirements. The implications of this study are as follows. First, this study tried to overcome the limitations of traditional investigations such as surveys and VOCs through text mining of online text data. Second, decision makers can derive users' requirements and prioritize without having to analyze numerous text data manually. Third, user priorities can be derived on a quantitative basis.

Keywords

References

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