The Instructional Design of Chinese Text Classification based on SVM
In order to resolve the comprehension difficulties of theory and implementation about Chinese text classification in The principle and application of pattern recognition curriculum for graduate students,this paper introduces the experiment of Chinese text classification into teaching practice.According to the text classification characteristics,we design the experiment scheme about Chinese text classification based on SVM,using word frequency statistics to extract feature and SVM classification algorithm,using vector space model to construct the feature space of text classification.So that readers can deeply understand and master the theoretical knowledge through the open the link,then expand on this basis.
feature selection support vector machine algorithm text classification teaching experiment
Sichao Wei Jianyi Guo Zhengtao Yu Peng Chen Yantuan Xian
School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming 650500;Intelligent Information Processing Key Laboratory, Kunming University of Science and Technology,Kunming 650500
国际会议
the 25th Chinese Control and Decision Conference(第25届中国控制与决策会议)
贵阳
英文
5114-5117
2013-05-01（万方平台首次上网日期，不代表论文的发表时间）