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The aim of this paper is to present an approach for prediction of customer opinion, using supervised machine learning approach and Decision tree method for classification of online hotel reviews as positive or negative. The preliminary extraction and preparation of the data used in the research are described. Three classification models are generated for three different data sets -balanced and unbalanced training sets with two schemes of filtering frequent and infrequent words in the attributedoi:10.5120/ijca2017912806 fatcat:hrajiybdq5ae5f2jcth3a4lsdu