Alternate Low-Rank Matrix Approximation in Latent Semantic Analysis

The latent semantic analysis (LSA) is a mathematical/statistical way of discovering hidden concepts between terms and documents or within a document collection (i.e., a large corpus of text). Each document of the corpus and terms are expressed as a vector with elements corresponding to these concept...

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Bibliographic Details
Main Authors: Fahrettin Horasan, Hasan Erbay, Fatih Varçın, Emre Deniz
Format: Article
Language:English
Published: Hindawi Limited 2019-01-01
Series:Scientific Programming
Online Access:http://dx.doi.org/10.1155/2019/1095643

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