소비자 선호 이슈 및 R&D 관점에서의 다차원 이슈 클러스터링

• 영문명: A Multi-Dimensional Issue Clustering from the Perspective Consumers' Interests and R&D
• 발행기관: 한국IT서비스학회
• 저자명: 현윤진(Yoon jin Hyun) 김남규(Nam gyu Kim) 조윤호(Yoon ho Cho)
• 간행물 정보: 『한국IT서비스학회지』한국IT서비스학회지 제14권 제1호, 237~249쪽, 전체 13쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2015.03.30

영문 초록

The volume of unstructured text data generated by various social media has been increasing rapidly; therefore, use of text mining to support decision making has also been increasing. Especially, issue Clustering-determining a new relation with various issues through clustering-has gained attention from many researchers. However, traditional issue clustering methods can only be performed based on the co-occurrence frequency of issue keywords in many documents. Therefore, an association between issues that have a low co-occurrence frequency cannot be discovered using traditional issue clustering methods, even if those issues are strongly related in other perspectives. Therefore, issue clustering that fits each of criteria needs to be performed by the perspective of analysis and the purpose of use. In this study, a multi-dimensional issue clustering is proposed to overcome the limitation of traditional issue clus-tering. We assert, specifically in this study, that issue clustering should be performed for a particular purpose. We analyze the results of applying our methodology to two specific perspectives on issue clustering, (i) consumers' interests, and (ii) related R&D terms.

목차

Abstract

1. 서론

2. 관련 연구

3. 다차원 이슈 클러스터링 방법론

4. 실험

5. 결론

References

키워드

Issue Clustering Social Network Analysis Text Mining Topic Analysis