LT World

You are here: Home kb Information & Knowledge Technologies Latent Semantic Analysis

Latent Semantic Analysis

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.

Latent Semantic Analysis for text-based research.
Foltz, P.W.
Behavior Research Methods, Instruments and Computers. 28 (2). 1996. 197-202.

An introduction to Latent Semantic Analysis.
Landauer, T. K., Foltz, P. W., Laham, D. Discourse Processes. 25. 1998. 259-284.

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.

  • Yves Bestgen
  • Peter Wiemer-Hastings
  • Philippe Dessus
  • Preslav Nakov
  • Peter Foltz
  • Magnus Sahlgren
  • Benoît Lemaire
  • Thomas K. Landauer
  • Simon Dennis
  • Jose Quesada
  • Tristan Miller
  • Walter Kintsch
  • Susan Dumais
  • Eileen Kintsch

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.


Latent Semantic Indexing;