Document classification algorithm based on MMP and LS-SVM

Document classification is a hard but important research topic. To effectively resolve this problem, a novel document classification algorithm is proposed by using maximum margin projection(MMP) and least square support vector machines (LS-SVM). The high-dimensional document data is first projected into lower-dimensional feature space via MMP algorithm, then the LS-SVM classifier is used to classify the test documents into different class in terms of the extracted semantic features. Experiments performed on two popular document datasets demonstrate the superior performance of the proposed document classification algorithm. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [CEIS 2011]