Computer Science ›› 2016, Vol. 43 ›› Issue (9): 77-81.doi: 10.11896/j.issn.1002-137X.2016.09.014

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Microblog Text Summarization Based on Entity Relation Network

XUE Zhu-jun, YANG Shu-qiang and SHU Yang-xue   

  • Online:2018-12-01 Published:2018-12-01

Abstract: On the basis of syntax parsing,combining the definition of entity relationship and formalized representation,this paper put forward a method based on directed graph model to reflect the structured relationship between texts,expressing text semantic information,making up for the shortcomings of word frequency characteristics.After that,the corresponding value of each node is measured with improved TPR (Topic-PAGERANK) to represent the importance of the relationship group.Then the corresponding original microblog text of relational tuples is sequentially outputed.Finally,it is proved by experiments that the text summarization extracted by automatic text summarization method based on relational tuple is more comprehensive and less redundant.

Key words: Entity relationship,Short text,Text expression,Syntax parsing,Topic-PAGERANK

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