Comparison of Naive Bayes smoothing methods for Twitter sentiment analysis

Abstract

In sentiment analysis, the absence of sample features in the training data will lead to misclassification. Smoothing is used to overcome this problem. Previous studies show that there are differences in performance obtained by the various smoothing techniques against various types of data. In this paper, we compare the performance of Naive Bayes smoothing… (More)

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