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Latent Semantic Mapping: Principles and Applications (Synthesis Lectures on Speech and Audio Processing)

Jerome Bellegarda




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 | #4999898 in Books |  2008-03-04 | Original language:English | PDF # 1 |  9.25 x.26 x7.50l,.45 | File type: PDF | 112 pages

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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...

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