Integration of Opinion into Customer Analysis Model

Authors:
Mohd Ridzwan Yaakub;Yuefeng Li;Yanming Feng
Affiliations:
-;-;-
Venue:
ICEBE '11 Proceedings of the 2011 IEEE 8th International Conference on e-Business Engineering
Year:
2011

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Integration of Opinion into Customer Analysis Model

WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 03

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Abstract

Nowadays, Opinion Mining is getting more important than before especially in doing analysis and forecasting about customers' behavior for businesses purpose. The right decision in producing new products or services based on data about customers' characteristics means profit for organization/company. This paper proposes a new architecture for Opinion Mining, which uses a multidimensional model to integrate customers' characteristics and their comments about products (or services). The key step to achieve this objective is to transfer comments (opinions) to a fact table that includes several dimensions, such as, customers, products, time and locations. This research presents a comprehensive way to calculate customers' orientation for all possible products' attributes. A use case study is also presented in this paper to show the advantages of using OLAP and data cubes to analyze costumers' opinions.