Research of Text Categorization Model based on Random Forests

Due to the good performance in computation speed and efficiency, Random Forest (RF) algorithm as a famous integrated learning algorithm has been widely applied in many fields. In addition, because of the rapid development of Internet, text categorization has become the key technology to process and organize large scale documents. It is appealing and important to employ RF algorithm to deal with text documents categorization problem. This paper introduces the details of RF algorithm and assess the text documents categorization model by using RF algorithm.