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