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Please use this identifier to cite or link to this item: http://hdl.handle.net/1820/685

Title: State of the Art LSA
Authors: Giesbers, Bas
Rusman, Ellen
Van Bruggen, Jan
Keywords: latent semantic analysis
latent semantic indexing
Issue Date: 30-May-2006
Publisher: OUNL; Cooper Consortium
Citation: Iofciu, T., Zhou, X., Giesbers, B., Rusman, E., van Bruggen, J., Ceri, S. (2006). State of the Art Report in Knowledge Sharing, Recommendation and Latent Semantic Analysis. Cooper Consortium Deliverable 3.1
Series/Report no.: Cooper consortium deliverable
3.1
Abstract: This State of the art on Latent Semantic Analysis (LSA) captures current knowledge on and applications of LSA. Furthermore, it tries to connect this knowledge to other applications in education by identifying useful ways in which LSA can be used and what benefits it offers. Rather than being exhaustive, the document tries to capture the essence of each topic. When appropriate, references for further reading are given. The document provides information on: LSI, Educational use of LSA, issues in corpus construction, several methodological considerations, a discussion of strengths and weaknesses and a discussion on alternative use of LSA in education. The document also includes a general bibliography on LSA.
Description: This document is the part of Cooper deliverable 3.1 which concerns LSA, plus an additional chapter on LSA methodology.
URI: http://hdl.handle.net/1820/685
Appears in Collections:5. LN: Deliverables, Reports, Work Documents

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