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Latent Semantic Indexing and Information Retrieval-A quest with BosSE

Geiß, Johanna

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Abstract

This master thesis deals with the implementation of a search engine using Latent Semantic Indexing (LSI) called BoSSE. Four different search types were implemented which allow a search for documents or terms similar to a given term, query or document. These search types are evaluated and the importance of term weighting, exclusion of non content words and the right selection of k for the reduction of dimension are discussed. Furthermore, an introduction to Latent Semantic Indexing (LSI) and an explanation of the Singular Value Decomposition (SVD) is given.

Item Type: Master's thesis
Date Deposited: 30 Aug 2006 08:37
Date: 2006
Faculties / Institutes: Neuphilologische Fakultät > IASK - Seminar für Computerlinguistik
Subjects: 004 Data processing Computer science
Controlled Keywords: Information Retrieval, Linguistische Datenverarbeitung, Semantischer Raum, Singulärwertzerlegung
Uncontrolled Keywords: Latent semantic Indexing , LSI , LSALatent semantic Indexing , LSI , LSA
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