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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