Aspect-based opinion mining from customer reviews
Description
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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| 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: | Past > QUT Faculties & Divisions > Science & Engineering Faculty Past > Schools > School of Electrical Engineering & Computer Science |
| Institution: | Queensland University of Technology |
| Deposited On: | 03 Aug 2016 00:51 |
| Last Modified: | 04 Sep 2017 14:42 |
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