In this Research Paper we propose a description-
LRA, also known as Latent Semantic Indexing, an
application in information retrieval that promises to offer
better performance by overcoming some limitations that
plagues traditional term matching techniques. These term
matching techniques have always relied on matching query
terms with document terms to retrieve the documents having
terms matching the query terms.. (LRA) seems to be a
promising technique in overcoming the natural language
problems between terms and documents that are mapped
and closely related to each other. Queries are then mapped to
this space with documents being retrieved based on similarity
Model.
Kiran Saroha : CSE Department, DeenBandhuChhotu Ram University of Science and Technology,
Murthal, Haryana, India
Sukhdip Singh : CSE Department, DeenBandhuChhotu Ram University of Science and Technology,
Murthal, Haryana, India
LSI
NLP
Cholesky Transform
SVM
LUD
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