Indexing by Latent Semantic Analysis.
Deerwester, S., Dumais, S. T., Furnas, G. W., Landauer, T. K., Harshman, R.
Journal of the American Society for Information Science. 41 (6). 1990. 391-407.
http://lsa.colorado.edu/papers/JASIS.lsi.90.pdf

Latent Semantic Analysis for text-based research.
Foltz, P.W.
Behavior Research Methods, Instruments and Computers. 28 (2). 1996. 197-202.
http://www-psych.nmsu.edu/~pfoltz/reprints/BRMIC96.html

An introduction to Latent Semantic Analysis.
Landauer, T. K., Foltz, P. W., Laham, D. Discourse Processes. 25. 1998. 259-284.
http://lsa.colorado.edu/papers/dp1.LSAintro.pdf

Applications of Latent Semantic Analysis.
Landauer, T.K.
24th Annual Meeting of the Cognitive Science Society. 2002.

Cognitive Models based on Latent Semantic Analysis.
Lemaire, B. & Denhière, G.
Tutorial given at the 5th International Conference on Cognitive Modeling (ICCM'2003). 2003.
http://www.upmf-grenoble.fr/sciedu/blemaire/tutorialLSA.pdf

Latent Semantic Analysis is a theory and method for extracting and representing the contextual-usage meaning of words by statistical computations applied to a large corpus of text. The underlying idea is that the totality of information about all the word contexts in which a given word does and does not appear provides a set of mutual constraints that largely determines the similarity of meaning of words and set of words to each other.