Document Relevance Calculation Based on Lexical Cohesion
基于词汇集聚的文档相关性计算

A new document relevance calculating method based on lexical cohesion is presented in this paper. The main principle is: documents are formalized with lexicon chains which are constructed by extracting semantic-relative word clusters according to the lexicon cohesion principle under the help of semantic dictionary HowNet; then weight of each lexical chain is evaluated; finally relevance of documents is calculated with their representations. Experiments are conducted on corpus of Chinese Library Classification, and precision about 85.4% is achieved. The experimental results show that the method describes the semantic feature of documents to a certain extent, and it is an effective method for relevance calculating of documents.