An Approach of Chinese Text Representation Based on Semantic and Statistic Feature
The approach of Chinese text representation based on set cannot represent the semantic information of text,and then results in low quality of text clustering.To settle this problem,this paper introduces Ontology and the idea of Term Co-occurrence into Chinese text representation and presents an approach of Chinese text representation based on semantic and statistic feature.This approach adds semantic feature based on Hownet and feature co-occurrence.Experimental results show that this approach can represent the semantic information of text more precisely and improve the quality of text clustering greatly.