Sub-topic detecting for chinese multi-documents based on semi-supervised learning
Xiaodan Xu · Journal of Zhejiang Normal University · 2011
Aimed to depart the sub-topic of multi-documents more effectively,it was proposed a new method based on semi-supervised learning: it firstly got the primal sets of topics by hierarchy clustering based on semantic distance of sentences,and labeled the sentences which had high scores in the topics,then used the method of constrained-k-means to decide the number of topics k,and finally obtained the topic sets by k-means clustering.The experiment results indicated that this method improved the accuracy of sub-topic recognition.