From: widowss@gmail.com   
      
   using naive bayes classifier to calssify the public 20new groups.   
   I filter the words whose letters are less than 3.   
    I stemmed the words.   
   The left words are the elements of the feature vectors.   
   when I chose 5 classes to be classified, the accuracy is about 45%.   
   In the book "machine learning", it said that this accurancy can up to   
   89%.   
   Can anybody tell me how to improve my classifier?Thanks a lot.   
      
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