Author/Authors :
Hashemi، Sayed Mohsen vvvvv نويسنده Department of Computer Engineering, Soosangerd Branch, Islamic Azad University, Soosangerd, Iran , , Sayahi، Aref نويسنده Department of Computer Engineering, Soosangerd Branch, Islamic Azad University, Soosangerd, Iran , , Behrouzian Nejad، Mohammad نويسنده Sama Technical and Vocational Training College, Islamic Azad University, Shoushtar Branch, Shoushtar, Iran ,
Abstract :
Text mining is one of the data mining applications. One of the importance text mining techniques is
automatic text classification. For text classification many methods have been proposed. In this paper we
implement and evaluate two text classification methods using naïve bayes and J48 algorithms under two
term frequency and tfidf term weighting methods. According to results, the J48 method has better
performance than naïve bayes in term frequency and tfidf term weighting methods. Also according to
results tfidf has better performance than term frequency method in text classification. Selecting a good
learning method and also term weighting method can improve final performance of text classification.
