An Improved Naive Bayes Text Classification Algorithm In Chinese Information Processing
Lingling Yuan · 2010
In Chinese information processing, Naive Bayes is a simple text classification method that is easily implemented. Its core is the realization of the calculating posterior probability algorithm and the effectively reducing dimension for feature words. This paper improved Naive Bayes text classification from the calculating posterior probability and the reducing dimension of feature words of text. The result of experiment indicated that the improved method is of the higher efficiency than the original algorithm.