%0 Generic
%A Geiß, Johanna
%D 2006
%F heidok:6753
%K Latent semantic Indexing , LSI , LSALatent semantic Indexing , LSI , LSA
%R 10.11588/heidok.00006753
%T Latent Semantic Indexing and Information Retrieval-A quest with BosSE
%U https://archiv.ub.uni-heidelberg.de/volltextserver/6753/
%X 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.