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Study on Designing and Implementing Online Customer Analysis System based on Relational and Multi-dimensional Model

관계형 다차원모델에 기반한 온라인 고객리뷰 분석시스템의 설계 및 구현

  • 김근형 (제주대학교 경영정보학과) ;
  • 송왕철 (제주대학교 컴퓨터공학과)
  • Received : 2012.03.05
  • Accepted : 2012.04.19
  • Published : 2012.04.28

Abstract

Through opinion mining, we can analyze the degree of positive or negative sentiments that customers feel about important entities or attributes in online customer reviews. But, the limit of the opinion mining techniques is to provide only simple functions in analyzing the reviews. In this paper, we proposed novel techniques that can analyze the online customer reviews multi-dimensionally. The novel technique is to modify the existing OLAP techniques so that they can be applied to text data. The novel technique, that is, multi-dimensional analytic model consists of noun, adjective and document axes which are converted into four relational tables in relational database. The multi-dimensional analysis model would be new framework which can converge the existing opinion mining, information summarization and clustering algorithms. In this paper, we implemented the multi-dimensional analysis model and algorithms. we recognized that the system would enable us to analyze the online customer reviews more complexly.

Keywords

Multi-dimensional Analysis Model;Opinion Mining;Information Summarization;Clustering;Association Rules Mining;Relational Model

Acknowledgement

Supported by : 한국연구재단

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