02921nam 2200757 a 450 991081477440332120230124190854.0978111856279611185627989781118562833111856283697811185628021118562801(CKB)2670000000336693(EBL)1124642(SSID)ssj0000832020(PQKBManifestationID)11530824(PQKBTitleCode)TC0000832020(PQKBWorkID)10881919(PQKB)10321767(Au-PeEL)EBL1124642(CaPaEBR)ebr10660575(CaONFJC)MIL527839(OCoLC)828423655(CaSebORM)9781118562802(MiAaPQ)EBC1124642(OCoLC)875668717(OCoLC)ocn875668717(OCoLC)759177310(FINmELB)ELB178647(Perlego)1014085(EXLCZ)99267000000033669320111104d2012 uy 0engur|n|---|||||txtccrTextual information access statistical models /edited by Eric Gaussier, François Yvon1st editionLondon ISTE ;Hoboken, N.J. Wiley20121 online resource (449 p.)ISTEDescription based upon print version of record.9781848213227 1848213220 Includes bibliographical references and index.pt. 1. Information retrieval -- pt. 2. Classification and clustering -- pt. 3. Multilingualism -- pt. 4. Emerging applications. 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 applicationsISTEText processing (Computer science)Statistical methodsAutomatic indexingDiscourse analysisData processingText processing (Computer science)Statistical methods.Automatic indexing.Discourse analysisData processing.005.52Gaussier Eric1597171Yvon François1597172MiAaPQMiAaPQMiAaPQBOOK9910814774403321Textual information access3918837UNINA