Research on Automatic Text Classification Algorithm Based on ITF-IDF and KNN

We consider how to efficiently text classification on all pairs of documents. This information can be used to information retrieval, digital library, information filtering, and search engine, among others. This paper describes text classification model which based on KNN algorithm. The text feature extraction algorithm, TF-IDF, can loss related information between text features, an improved ITF-IDF algorithm has been presented in order to overcome it. Our experiments show that our algorithm is better than others.