Opinion mining for thai restaurant reviews using K-Means clustering and MRF feature selection

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dc.contributor.authorClaypo, Niphat
dc.contributor.authorJaiyen, Saichon
dc.date.accessioned2026-08-06T10:11:21Z
dc.date.available2026-08-06T10:11:21Z
dc.date.issued2015-02-27
dc.description.abstractOpinion mining on millions of Thai restaurant reviews in an unsupervised manner is a challenging task to survey feedbacks of the customers on their products and services. This is extremely helpful for owners to improve their business. In this paper, we propose an opinion mining on Thai restaurant reviews using K-Means clustering and MRF feature selection. The proposed method begins with text preprocessing for breaking reviews into words and removing stop words, followed by text transformation for creating keywords and generating input vectors. MRF feature selection is subsequently adopted for selecting relevant features from a large number of features extracted. Then, K-Means is employed for clustering into positive and negative reviews. From the experimental results, MRF feature selection can efficiently reduce the number of features in the data set so the computational time is significantly decreased. In addition, K-means can achieve the best clustering performance, when compared with Self-Organizing Map, Fuzzy C-Means, and Hierarchical Clustering. Thus, the cooperation of K-means with MRF feature selection is an effective model for clustering Thai restaurant reviews.
dc.identifier.citationProceedings of the 2015 7th International Conference on Knowledge and Smart Technology Kst 2015, 105-108, 2015
dc.identifier.doi10.1109/KST.2015.7051469
dc.identifier.other2-s2.0-84925860843
dc.identifier.urihttps://dspace.kmitl.ac.th/handle/123456789/6191
dc.sourceProceedings of the 2015 7th International Conference on Knowledge and Smart Technology Kst 2015
dc.subjectFuzzy C-Means (FCM)
dc.subjectHierarchical
dc.subjectK-Means
dc.subjectMRF feature selection
dc.subjectOpinion Mining
dc.subjectSelf-Organizing Map neural network (SOM)
dc.titleOpinion mining for thai restaurant reviews using K-Means clustering and MRF feature selection
dc.typeConference Paper

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