Latent semantic analysis of Chinese information

Yun Feng Liu, Huan Qi, Jianmin Dai, Xiao Ping Wang

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

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)
Volume32
Issue numberSUPPL.
StatePublished - Nov 1 2004
Externally publishedYes

Fingerprint

Semantics
Information retrieval

Keywords

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

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Latent semantic analysis of Chinese information. / Liu, Yun Feng; Qi, Huan; Dai, Jianmin; Wang, Xiao Ping.

In: Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), Vol. 32, No. SUPPL., 01.11.2004, p. 107-111.

Research output: Contribution to journalArticle

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