Semi-supervised Document Clustering Based on Latent Dirichlet Allocation (LDA)OA

作者：QIN Yong-bin;LI Jie;HUANG Rui-zhang;LI Jing

作者单位：College of Computer Science and Technology, Guizhou University, Guiyang 550025, ChinaCollege of Computer Science and Technology, Guizhou University, Guiyang 550025, ChinaCollege of Computer Science and Technology, Guizhou University, Guiyang 550025, ChinaCollege of Computer Science and Technology, Guizhou University, Guiyang 550025, China

分类：信息技术与安全科学

中文关键词：latent Dirichlet allocation (LDA)semi-supervised learningdocument clustering

英文关键词：latent Dirichlet allocation (LDA)semi-supervised learningdocument clustering

刊名：《东华大学学报（英文版）》 2016 (5)

相关项目：半监督文本聚类算法在个性化文本分析上的研究

页码/页数：685-688,4

基金：National Natural Science Foundations of China (Nos.61262006,61462011,61202089)the Major Applied Basic Research Program of Guizhou Province Project,China (No.JZ20142001)the Science and Technology Foundation of Guizhou Province Project,China (No.LH20147636)the National Research Foundation for the Doctoral Program of Higher Education of China (No.20125201120006)the Graduate Innovated Foundations of Guizhou University Project,China (No.2015012)