Journal of Computer & Information Technology

Vector Space Modelling and Latent Semantic Indexing for textual information retrieval

Author:
MUZAFAR RASOOL BHAT
Affiliation:

Department of Computer Science, Islamic University of Science and Technology, Awantipora, Sriagar (India)
muzafar.rasool@islamicuniversity.edu.in

Keyword:
information retrieval, SVD, VSM, LSI
Issue Date:
December 2015
Abstract:
Vector space model of a collection eases process of information retrieval. This process can be further simplified by decomposing term document matrix using singular value decomposition. Use of appropriate number of singular values produced by singular value decomposition can improve the relevance of retrieved results. This paper compares the results produced by two main algebraic model based algorithms namely VSM and LSI using metrics based on Precision and Recall tests.Commonly used collections like CACM, and CISI is used in this research.
Pages:
ISSN:
2455-9997 (Online) - 2229-3531 (Print)
Source:
DOI:

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Available from: http://www.compitjournal.org/paper/285/

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