Naïve Bayes Classifier with Various Smoothing Techniques for Text Documents
نویسندگان
چکیده
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 Naïve Bayes which performs well with different data sets. Various Smoothing techniques are applied on Naïve Bayes. The idea behind them is to improve the classification accuracy and performance.
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