Latent semantic analysis and Fiedler retrieval

Citations of this article
Mendeley users who have this article in their library.


Latent semantic analysis (LSA) is a method for information retrieval and processing which is based upon the singular value decomposition. It has a geometric interpretation in which objects (e.g. documents and keywords) are placed in a low-dimensional geometric space. In this paper, we derive an alternative algebraic/geometric method for placing objects in space to facilitate information analysis. We show that our method is closely related to LSA, and essentially equivalent for particular choices of scaling parameters. We then show that our approach supports a number of generalizations and extensions that existing LSA approaches cannot handle. © 2006 Elsevier Inc. All rights reserved.




Hendrickson, B. (2007). Latent semantic analysis and Fiedler retrieval. Linear Algebra and Its Applications, 421(2-3 SPEC. ISS.), 345–355.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free