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    Enhanced multinomial naive bayes classifier for predict sentiment orientation
    (Maltepe Üniversitesi, 2017) Fakhruddin, Fajar; Demircan, Yasemin Şengün; Ünen, Hüseyin Can
    Sentiment classification using machine learning approach has increased tremendously for classify product reviews data. One of works in sentiment classification is to automatically evaluate product value by classifying text reviews into positive or negative sentiment. This research interest also supported by an increasing amount of online information. ln amazon,com alone, we are dealing with millions of product reviews, therefore we decided to choose multinomial naive bayes which is has low training time complexity but it is often outperformed by other algorithms. ln this paper, a method titled Enhanced Multınomial Naive Bayes Classifier for Predict Sentiment Orientation is proposed to increase prediction accuracy of sentiment classification on online shop product reviews...