Aspect-based opinion mining from customer reviews

Samha, Amani Khalaf (2016) Aspect-based opinion mining from customer reviews. PhD thesis, Queensland University of Technology.

Abstract

This thesis is a step forward to developing a systemic solution to enhance the selling and buying decision-making from online customer reviews. The method used was based on understanding the grammatical structure of sentences and machine learning techniques to predict opinions and opinionated aspects about a product or service. It involves studying the word dependencies and forecasts sentiments based on previous knowledge.

Impact and interest:

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Full-text downloads:

47 since deposited on 03 Aug 2016
47 in the past twelve months

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ID Code: 97562
Item Type: QUT Thesis (PhD)
Supervisor: Zhang, Jinglan, Li, Yuefeng, & Xu, Yue
Keywords: Opinion Mining, Data Mining, Conditional Random Fields, Association Rules, Dependency Relations
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Institution: Queensland University of Technology
Deposited On: 03 Aug 2016 00:51
Last Modified: 03 Aug 2016 00:51

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