OPINION MINING OF PRODUCT REVIEWS USING HYBRID MACHINE LEARNING TECHNIQUES

  • Nivet Chirawichitchai Panyapiwat Institute of Management
  • Pisit Charnkeitkong Panyapiwat Institute of Management
Keywords: Opinion Mining, Genetic Algorithms, Support Vector Machine

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.

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References

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Published
2022-03-30
How to Cite
Chirawichitchai, N., & Charnkeitkong, P. (2022). OPINION MINING OF PRODUCT REVIEWS USING HYBRID MACHINE LEARNING TECHNIQUES. Social Science Asia, 8(2), 73-78. Retrieved from https://socialscienceasia.nrct.go.th/index.php/SSAsia/article/view/288
Section
Research Article