Latent Semantic Mapping: Principles and Applications PDF (Adobe DRM) download by Jerome R. Bellegarda

Latent Semantic Mapping: Principles and Applications

Morgan & Claypool Publishers
Publication date: June 2007
ISBN: 9781598291056
Digital Book format: PDF (Adobe DRM)

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Latent semantic mapping (LSM) is a generalization of latent semantic analysis (LSA), a paradigm originally developed to capture hidden word patterns in a text document corpus. In information retrieval, LSA enables retrieval on the basis of conceptual content, instead of merely matching words between queries and documents. It operates under the assumption that there is some latent semantic structure in the data, which is partially obscured by the randomness of word choice with respect to retrieval. Algebraic and/or statistical techniques are brought to bear to estimate this structure and get rid of the obscuring "noise." This results in a parsimonious continuous parameter description of words and documents, which then replaces the original parameterization in indexing and retrieval.
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