A new method to compute Chinese text concept

Yang Feng*, Sen Lin Luo, Li Min Pan, Li Li Liu, Kai Jiang Chen

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

A new method to compute Chinese text concept is proposed in this paper. In this method, we construct sentence vectors from the text by extracting and quantifying some syntax and semantic features such as concept elements, dependent relations and correlative relations. Then, we combine these sentence vectors to the text vector to represent the text concept. Experimental results show that, in the application of text classification, the precision and the recall of this method achieve 91.5% and 91.3%. Contrast with TF-IDF and LSA, the proposed method is more accurate, less affected by text class and more stable on text concept approaching.

Original languageEnglish
Title of host publication2nd International Workshop on Education Technology and Computer Science, ETCS 2010
Pages59-62
Number of pages4
DOIs
Publication statusPublished - 2010
Event2nd International Workshop on Education Technology and Computer Science, ETCS 2010 - Wuhan, Hubei, China
Duration: 6 Mar 20107 Mar 2010

Publication series

Name2nd International Workshop on Education Technology and Computer Science, ETCS 2010
Volume1

Conference

Conference2nd International Workshop on Education Technology and Computer Science, ETCS 2010
Country/TerritoryChina
CityWuhan, Hubei
Period6/03/107/03/10

Keywords

  • Chinese information processing
  • Concept element
  • Correlative relation
  • Dependent relation
  • Text concept computing

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