Document (#25515)

Author

Huang, Y.-L.

Title

¬A theoretic and empirical research of cluster indexing for Mandarine Chinese full text document

Source

Bulletin of library and information science. 1998, no.24, S.44-68

Year

1998

Abstract

Since most popular commercialized systems for full text retrieval are designed with full text scaning and Boolean logic query mode, these systems use an oversimplified relationship between the indexing form and the content of document. Reports the use of Singular Value Decomposition (SVD) to develop a Cluster Indexing Model (CIM) based on a Vector Space Model (VSM) in orer to explore the index theory of cluster indexing for chinese full text documents. From a series of experiments, it was found that the indexing performance of CIM is better than traditional VSM, and has almost equivalent effectiveness of the authority control of index terms

Footnote

In Chinesisch

Theme

Automatisches Klassifizieren
Volltextretrieval

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5. Martin, D.I.; Berry, M.W.: Latent Semantic Indexing (2009) 0.16

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