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Concept
Latent Semantic Indexing
Latent Semantic Indexing
(LSI) is a
natural language processing technique
that analyzes
relationships between a set of documents
and the
terms they contain
by producing a
set of concepts related to the documents
and terms. It uses
singular value decomposition
to reduce the
dimensionality of the term-document matrix
, capturing the
underlying structure in the data
that reflects
semantic relationships
.
Relevant Degrees
Computer Science and Data Processing 67%
Standards and Measurements 33%
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