Journal of Jilin University Science Edition ›› 2018, Vol. 56 ›› Issue (6): 1447-1452.

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ShortText Clustering Algorithm Based on Extension of Metaphorical Words#br#

WANG Ye, ZUO Wanli, WANG Ying   

  1. Symbol Computation and Knowledge Engineer of Ministry of Education,College of Computer Science and Technology, Jilin University, Changchun 130012, China
  • Received:2017-06-30 Online:2018-11-26 Published:2018-11-26

Abstract: Aiming at the problem that short text contained small words and various expressions, which led to ineffective clustering of the same category of text, we proposed a method to extend metaphorical words in short texts by using the rich lexical relationships in Chinese Wikipedia, which solved the shortages of the short text with less information and various lexical expressions. Experimental results show that the algorithm can effectively enhance the clustering effect of short text.

Key words: text clustering, short text, Wikipedia, text extension

CLC Number: 

  • TP393