Integration of opinion into customer analysis model

Mohd Ridzwan Yaakub, Yuefeng Li, Abdulmohsen Algarni, Bo Peng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012
Pages164-168
Number of pages5
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012 - Macau
Duration: 4 Dec 20127 Dec 2012

Other

Other2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012
CityMacau
Period4/12/127/12/12

Fingerprint

Customer satisfaction
Industry
Profitability

Keywords

  • Data Cube
  • Frequent Feature
  • OLAP
  • Opinion Mining
  • Structured Data
  • Unstructured data

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

Cite this

Yaakub, M. R., Li, Y., Algarni, A., & Peng, B. (2012). Integration of opinion into customer analysis model. In Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012 (pp. 164-168). [6511670] https://doi.org/10.1109/WI-IAT.2012.78

Integration of opinion into customer analysis model. / Yaakub, Mohd Ridzwan; Li, Yuefeng; Algarni, Abdulmohsen; Peng, Bo.

Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012. 2012. p. 164-168 6511670.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yaakub, MR, Li, Y, Algarni, A & Peng, B 2012, Integration of opinion into customer analysis model. in Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012., 6511670, pp. 164-168, 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012, Macau, 4/12/12. https://doi.org/10.1109/WI-IAT.2012.78
Yaakub MR, Li Y, Algarni A, Peng B. Integration of opinion into customer analysis model. In Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012. 2012. p. 164-168. 6511670 https://doi.org/10.1109/WI-IAT.2012.78
Yaakub, Mohd Ridzwan ; Li, Yuefeng ; Algarni, Abdulmohsen ; Peng, Bo. / Integration of opinion into customer analysis model. Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology Workshops, WI-IAT 2012. 2012. pp. 164-168
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