On the Performance of Latent Semantic Indexing-based Information Retrieval
نویسندگان
چکیده
منابع مشابه
On the Performance of Latent Semantic Indexing based Information Retrieval
Conventional vector-based Information Retrieval (IR) models: Vector Space Model (VSM) and Generalized Vector Space Model (GVSM) represents documents and queries as vectors in a multidimensional space. This high dimensional data places great demands on computing resources. To overcome these problems, Latent Semantic Indexing (LSI), a variant of VSM, projects the documents into a lower dimensiona...
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Due to the growth of large data collections, information retrieval or database searching is of vital importance. Lexical matching techniques may retrieve irrelevant or inaccurate results because of synonyms and polysemous words, so effective concept-based techniques are needed. One such technique is latent semantic indexing (LSI) which uses a vector-space approach by identifying documents whose...
متن کاملEnhancing Performance in Latent Semantic Indexing (LSI) Retrieval
We have previously described an extension of the vector retrieval method called "Latent Semantic Indexing" (LSI) (Deerwester, et al., 1990; Dumais, et al., 1988; Furnas, et al., 1988). The LSI approach partially overcomes the problem of variability in human word choice by automatically organizing objects into a "semantic" structure more appropriate for information retrieval. This is done by mod...
متن کاملAutomatic Cross-Language Information Retrieval using Latent Semantic Indexing
We describe a method for fully automated cross-language document retrieval in which no query translation is required. Queries in one language can retrieve documents in other languages (as well as the original language). This is accomplished by a method that automatically constructs a multi-lingual semantic space using Latent Semantic Indexing (LSI). We present strong preliminary test results fo...
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ژورنال
عنوان ژورنال: Journal of Computing and Information Technology
سال: 2009
ISSN: 1330-1136,1846-3908
DOI: 10.2498/cit.1001268