Integration of Opinion Mining into customer analysis model
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Mohd Yaakub Thesis (PDF 5MB) |
Description
This research proposes a multi-dimensional model for Opinion Mining, which integrates customers' characteristics and their opinions about products (or services). Customer opinions are valuable for companies to deliver right products or services to their customers. This research presents a comprehensive framework to evaluate opinions' orientation based on products' hierarchy attributes. It also provides an alternative way to obtain opinion summaries for different groups of customers and different categories of produces.
Impact and interest:
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ID Code: | 85084 |
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Item Type: | QUT Thesis (PhD) |
Supervisor: | Li, Yuefeng & Feng, Yanming |
Keywords: | Opinion Mining, Sentiment Analysis, Feature Ontology, OLAP, Data Cube, Unstructured Data |
Divisions: | Past > QUT Faculties & Divisions > Science & Engineering Faculty Past > Schools > School of Chemistry, Physics & Mechanical Engineering Past > Schools > School of Electrical Engineering & Computer Science |
Institution: | Queensland University of Technology |
Deposited On: | 24 Jul 2015 01:46 |
Last Modified: | 05 Sep 2017 14:42 |
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