Integration of opinion into customer analysis model
| Contribuinte(s) |
Boissier, Olivier Benatallah, Boualem |
|---|---|
| Data(s) |
04/12/2012
|
| Resumo |
As e-commerce is becoming more and more popular, the number of customer reviews that a product receives grows rapidly. In order to enhance customer satisfaction and their shopping experiences, it has become important to analysis customers reviews to extract opinions on the products that they buy. Thus, 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. |
| Formato |
application/pdf |
| Identificador | |
| Publicador |
IEEE Computer Society Conference Publishing Services (CPS) |
| Relação |
http://eprints.qut.edu.au/58385/1/58385.pdf http://www.computer.org/cps Yaakub, M.R., Li, Y., Algarni, A., & Peng, B. (2012) Integration of opinion into customer analysis model. In Boissier, Olivier & Benatallah, Boualem (Eds.) The 2012 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology Workshops, IEEE Computer Society Conference Publishing Services (CPS), Macau, China, pp. 164-168. |
| Direitos |
Copyright 2012 IEEE, Inc. Abstracting is permitted with credit to the source. Libraries may photocopy beyond the limits of US copyright law, for private use of patrons, those articles in this volume that carry a code at the bottom of the first page, provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923. Other copying, reprint, or republication requests should be addressed to: IEEE Copyrights Manager, IEEE Service Center, 445 Hoes Lane, P.O. Box 133, Piscataway, NJ 08855-1331. The papers in this book comprise the proceedings of the meeting mentioned on the cover and title page. They reflect the authors’ opinions and, in the interests of timely dissemination, are published as presented and without change. Their inclusion in this publication does not necessarily constitute endorsement by the editors, the IEEE Computer Society, or the Institute of Electrical and Electronics Engineers, Inc. |
| Fonte |
School of Electrical Engineering & Computer Science; Science & Engineering Faculty |
| Palavras-Chave | #080109 Pattern Recognition and Data Mining #Opinion Mining #Data Cube #OLAP |
| Tipo |
Conference Paper |
