Review selection based on topic models
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Anh Duc Nguyen Thesis (PDF 2MB) |
Description
The thesis addresses an important issue in e-commerce area that customers were overwhelmed by huge amount of online product reviews in attempting to find useful reviews. The thesis proposed a novel approach to represent the online reviews using features and related words identified by applying data mining and text mining methods, specifically, using probabilistic Topic Modelling methods. Then, based upon the derived related words, the thesis proposed a new method to select the most helpful reviews that discuss a specified feature of product.
Impact and interest:
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| ID Code: | 116512 |
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| Item Type: | QUT Thesis (Masters by Research) |
| Supervisor: | Xu, Yue & Li, Yuefeng |
| Keywords: | Review Selection, Related Words, Pattern Mining, Topic Modelling, Pattern based Topic Model, WordNet |
| DOI: | 10.5204/thesis.eprints.116512 |
| Divisions: | Past > QUT Faculties & Divisions > Science & Engineering Faculty Past > Schools > School of Electrical Engineering & Computer Science |
| Institution: | Queensland University of Technology |
| Deposited On: | 25 May 2018 02:50 |
| Last Modified: | 25 May 2018 02:50 |
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