An improved naïve Bayes classifier is proposed. The method includes aspects of improvement: to get a reduced text feature word set by filtering the synonym, to iterate two different feature selection methods, and to effectively improve the representative feature set. The experimental results show that this method can effectively improve the performance of naïve Bayes classifier.
CITATION STYLE
Lin, Y., Wang, J., & Zou, R. (2015). An improved naïve bayes classifier method in public opinion analysis. In Lecture Notes in Electrical Engineering (Vol. 355, pp. 219–225). Springer Verlag. https://doi.org/10.1007/978-3-319-11104-9_26
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