Feature Selection Method Based on Document Frequency
Yan Li · Jisuanji gongcheng · 2010
In traditional Document Frequency(DF) method,the number of a term which is used in a category is the only information for feature selection,wihtout involving the times of a term appearing in a document.For solving the problem,a new feature selection method is proposed in which the Term Frequency(TF) of terms is taken into consider according to the terms’ document frequency,and the Support Vector Machine(SVM) method is used to train the classifier.It is shown by the experiment that considering the term with high term frequency during feature selection can improve the classification performance of the traditional DF method.