Chinese keywords identification based on strength entropy

Computer Engineering & Science

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Chinese keywords identification based on strength entropy

YAN Rong,GAO Guanglai

(College of Computer Science,Inner Mongolia University,Hohhot 010021,China)

Received:2016-07-03 Revised:2016-09-02 Online:2016-11-25 Published:2016-11-25

Abstract

Abstract:

To identify keywords of the document is one of the fundamental issues for text mining.

Focusing on the study of the existing keyword identification approaches based on complex

networks, we exploit the importance of nodes from the aspect of information missing in the

whole complex network topology. We introduce a novel measurement, called strength entropy,

to quantitatively evaluate the importance of nodes and solve Chinese keyword identification

problem. Experimental results show that the evaluation method is simple and effective,

especially for weighted complex networks.

Key words: complex network, keyword extraction, language network, strength entropy

YAN Rong,GAO Guanglai. Chinese keywords identification based on strength entropy[J]. Computer Engineering & Science.

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Chinese keywords identification based on strength entropy

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