Latent semantic analysis of Chinese information

Yun Feng Liu, Huan Qi, Jian Min Dai, Xiao Ping Wang

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Latent Semantic Analysis (LSA) is a retrieval technology based on the latent concept indexing. The theory and method of LSA are summarized, and the underlying mathematical meaning is explained. The effect of LSA is then illustrated by the change of the correlation between documents or terms in a simple example. Moreover, in order to check the retrieval efficiency of LSA, the concept of self-indexing matrix is presented. The practicability of LSA in the field of information retrieval is finally indicated by the experimental results.

Original languageEnglish (US)
Pages (from-to)107-111
Number of pages5
JournalHuanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science)
Issue numberSUPPL.
StatePublished - Nov 2004
Externally publishedYes


  • Chinese information processing
  • Latent Semantic Analysis
  • Latent semantic space
  • Singular value decomposition

ASJC Scopus subject areas

  • Engineering(all)


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