Automatic construction of knowledge tree based on text clustering
一种基于文本分类的知识树自动构建方法

The construction and maintenance of the knowledge tree is an important and time-consuming task in a knowledge management system(KMS).This paper presented a novel method to construct the knowledge tree based on text clustering.Because it's difficult to extract concepts and vocabulary corresponding to nodes in knowledge tree while clustering by traditional K-means and SOM algorithms,selected PLSA(probabilistic latent semantic analysis) to construct knowledge tree.Experiment shows that the clustering accuracy ...