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035   $a(CaSebORM)9781118562802
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100   $a20111104d2012      uy             0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aTextual information access$b[electronic resource] $estatistical models /$fedited by Eric Gaussier, Franc?ois Yvon
205   $a1st edition
210   $aLondon $cISTE ;$aHoboken, N.J. $cWiley$d2012
215   $a1 online resource (449 p.)
225 1 $aISTE
300   $aDescription based upon print version of record.
311   $a1-84821-322-0 
320   $aIncludes bibliographical references and index.
327   $apt. 1. Information retrieval -- pt. 2. Classification and clustering -- pt. 3. Multilingualism -- pt. 4. Emerging applications.
330   $a This book presents statistical models that have recently been developed within several research communities to access information contained in text collections. The problems considered are linked to applications aiming at facilitating information access:- information extraction and retrieval;- text classification and clustering;- opinion mining;- comprehension aids (automatic summarization, machine translation, visualization).In order to give the reader as complete a description as possible, the focus is placed on the probability models used in the applications
410  0$aISTE
606   $aText processing (Computer science)$xStatistical methods
606   $aAutomatic indexing
606   $aDiscourse analysis$xData processing
615  0$aText processing (Computer science)$xStatistical methods.
615  0$aAutomatic indexing.
615  0$aDiscourse analysis$xData processing.
676   $a005.52
701   $aGaussier$b Eric$0982314
701   $aYvon$b Franc?ois$0982315
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910141601503321
996   $aTextual information access$92242089
997   $aUNINA