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| 01400nam 2200289za 4500 |
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001 | 9.845966 |
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003 | CaOODSP |
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005 | 20240219183500 |
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007 | cr ||||||||||| |
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008 | 171023s2012 onc fo f000 0 eng d |
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040 | |aCaOODSP|beng |
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043 | |an-cn--- |
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086 | 1 |aD68-5/079-2012E-PDF |
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100 | 1 |aDerbentseva, Natalia. |
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245 | 10|aLatent semantic analysis (LSA) tools |h[electronic resource] / |cNatalia Derbentseva, Peter J. Kwantes, Philip Terhaar. |
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260 | |a[Toronto] : |bDefence Research and Development Canada, |cc2012. |
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300 | |aii, 26, [2] p. |
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490 | 1 |aTechnical note ; |v2012-079 |
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500 | |a"July 2012." |
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520 | |a"Latent Semantic Analysis (LSA; Landauer & Dumais, 1997; Landauer, Foltz, & Laham, 1998) is a computational model that uses a large collection of unstructured documents to construct semantic representations for words. The representations are based on a statistical analysis of the terms' occurrences within and across documents, and take the form of a vector"--Introduction, p. 1. |
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692 | 07|2gccst|aLanguages |
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692 | 07|2gccst|aInformation technology |
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700 | 1 |aKwantes, Peter J. |
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700 | 1 |aTerhaar, Philip. |
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710 | 2 |aDefence R&D Canada. |
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830 | #0|aTechnical note (Defence R&D Canada)|v2012-079|w(CaOODSP)9.820563 |
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856 | 40|qPDF|s10.44 MB|uhttps://publications.gc.ca/collections/collection_2017/rddc-drdc/D68-5-079-2012-eng.pdf |
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