Abstract: On the basis of introducing the commonly used J48 algorithm,Naive Bayes Multinomia algorithm and SMO algorithm to the classification algorithm selection of text categorization,we use Weka platform to select data sets for classification experiments.According to the precision,recall and index combined with other text classification evaluation indexes,we analyze the results obtained from the six experiments,and conclude that SMO algorithm is better than the other two algorithms.For the selected Naive Bayes Multinomia algorithm,the numToSelect value is adjusted and its results optimized.This experiment provides some references for the research of text categorization.

Key words: text classification, J48 algorithm, Naive Bayes Multinomia algorithm, SMO algorithm, Weka