The Design And Implement Of A Mongolian Text Classifier Based On Active Learning SVM

With the rapid development of information technology, the world turns into a sea of information, and how to extract large amounts of information quickly and effectively in the required information becomes pressing issue. The classification can solve largely the phenomenon of information promiscuity, and it is convenient for user to go to information required and shunt information accurately, therefore, research in the field of text classification again raises concerns.Text classification on the basis of the contents of the text refers to the text category automatically. With the international coding standard of Mongolian language is formally released, the automatic classification of Mongolian information becomes an important research topic. The accidence and syntax of Mongolian is quite different from English and Chinese, so the work can not imitate foreign research results, and it is necessary to study the classification system of the Mongolian language. This work is to design an automatic classifier of the Mongolian language and bring to bear it.This study introduces the design idea of Mongolian text classifier based on active learning SVM. After analyze Mongolian from the perspective of Mongolian language linguistics, The work points out the different importance of the various parts of speech in Mongolian feature extraction, and puts forward the means of Mongolian...