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OPINION MINING OF PRODUCT REVIEWS USING HYBRID MACHINE LEARNING TECHNIQUES |
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| รหัสดีโอไอ | |
| Creator | Nivet Chirawichitchai |
| Title | OPINION MINING OF PRODUCT REVIEWS USING HYBRID MACHINE LEARNING TECHNIQUES |
| Contributor | Pisit Charnkeitkong |
| Publisher | National Research Council of Thailand |
| Publication Year | 2565 |
| Journal Title | SOCIAL SCIENCE ASIA : Official Journal of National Research Council of Thailand in conjunction with Panyapiwat Institute of Management |
| Journal Vol. | 8 |
| Journal No. | 2 |
| Page no. | 73-78 |
| Keyword | Opinion Mining, Genetic Algorithms, Support Vector Machine |
| URL Website | http://e-journal.nrct.go.th/ |
| Website title | e-journal |
| ISSN | 2229-2608 |
| Abstract | This research purpose's opinion mining of product reviews using hybrid machine learning techniques based on Thai online product reviews for hotel room services, hotels, and resorts with a collection of 4,000 sample data sets. A Modeling with Genetic Algorithms and Support Vector Machine methods. It consists of traditional machine learning to compare the effectiveness of each method in analyzing opinion mining of online review products. The experiment found that the use of Genetic Algorithms with support vector machines provides better classification accuracy than using traditional vector support machines with an accuracy of 88.64% and the proposed hybrid model can effectively reduce the dimensions of the data. |
