Document (#39153)

Author

Yan, X.
Li, X.
Song, D.

Title

¬A correlation analysis on LSA and HAL semantic space models

Source

Computational and information science. First International Symposium, CIS 2004, Shanghai, China, December 16-18, 2004. Proceedings. Eds.: J. Zhang et al

Imprint

Berlin : Springer

Year

2004

Pages

S.711-717

Series

Lecture notes in computer science; vol. 3314

Abstract

In this paper, we compare a well-known semantic spacemodel, Latent Semantic Analysis (LSA) with another model, Hyperspace Analogue to Language (HAL) which is widely used in different area, especially in automatic query refinement. We conduct this comparative analysis to prove our hypothesis that with respect to ability of extracting the lexical information from a corpus of text, LSA is quite similar to HAL. We regard HAL and LSA as black boxes. Through a Pearson's correlation analysis to the outputs of these two black boxes, we conclude that LSA highly co-relates with HAL and thus there is a justification that LSA and HAL can potentially play a similar role in the area of facilitating automatic query refinement. This paper evaluates LSA in a new application area and contributes an effective way to compare different semantic space models.

Theme

Semantisches Umfeld in Indexierung u. Retrieval

Object

Hypertspace Analogue to Language
Latent Semantic Analysis

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