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- W2181493353 abstract "Due to huge amount of increase in text data, its classification has become an important issue, now days. There are many good classification techniques discussed in this paper. Each classification method has its own assumptions, advantages and limitations. One of the most widely used classifier is Naive Bayes which performs well with different data sets. Various Smoothing techniques are applied on Naive Bayes. The idea behind them is to improve the classification accuracy and performance." @default.
- W2181493353 created "2016-06-24" @default.
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- W2181493353 date "2013-01-01" @default.
- W2181493353 modified "2023-09-27" @default.
- W2181493353 title "Naïve Bayes Classifier with Various Smoothing Techniques for Text Documents" @default.
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- W2181493353 hasPublicationYear "2013" @default.
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