Author/Authors :
Behrouzian Nejad، Mohammad نويسنده Sama Technical and Vocational Training College, Islamic Azad University, Shoushtar Branch, Shoushtar, Iran , , Hashemi، Sayed Mohsen نويسنده Young Researchers and Elite Club, Mayboad Branch, Islamic Azad University, Mayboad , , Sayahi، Aref نويسنده Department of Computer Engineering, Soosangerd Branch, Islamic Azad University, Soosangerd, Iran , , Kiaeimehr، Behnam نويسنده Sama Technical and Vocational Training College, Islamic Azad University, Shoushtar Branch, Shoushtar, ,
Abstract :
Text classification of documents refers to classifying documents to one or more predefined classes. One of
the most important steps in text classification is feature selection. In text classification, feature selection is a
strategy that can be used to increase the efficiency and accuracy of classification. Feature selection
techniques can be classified into two basic categories: filtering techniques and wrapper techniques.
Filtering techniques are independent of the learning algorithm. But wrapper methods uses from learning
algorithm as the evaluation function. In this paper we review some effectiveness feature selection
researches and show review results of these in a table form.
