Text similarity measuring method based on semantic analysis and semantic relation network

The invention discloses a text similarity measuring method based on semantic analysis and a semantic relation network. First, two texts are input and are preprocessed, and a preprocessed result is a collection of vocabularies; second, the lexical semantic similarity of the preprocessed result of the...

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Bibliographic Details
Main Authors SHAO GENFU, YOU JINPENG, WANG YUJUAN, ZHANG ZHEN, WU GUOHUA
Format Patent
LanguageChinese
English
Published 08.05.2013
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:The invention discloses a text similarity measuring method based on semantic analysis and a semantic relation network. First, two texts are input and are preprocessed, and a preprocessed result is a collection of vocabularies; second, the lexical semantic similarity of the preprocessed result of the two texts is calculated, and the semantic relation network in constructed according to a calculation result; third, flow medium numerical values of nodes in the semantic relation network are respectively calculated, and characteristic collection of the two texts is obtained; fourth, a bipartite graph is constructed according to the characteristic collection of the two texts, and a path weight number between two parts of the bipartite graph is set; fifth, the similarity between the two texts is calculated by utilizing a bipartite graph optimal matching method. The text similarity measuring method based on the semantic analysis and the semantic relation network can be used for the technical field of data mining and
Bibliography:Application Number: CN2013146975