TY  - BOOK
AU  - Gaussier,Eric
AU  - Yvon,François
TI  - Textual information access: statistical models 
T2  - ISTE
SN  - 9781118562833
AV  - QA76.9.T48 T56 2012eb
U1  - 005.52 23
PY  - 2012///
CY  - London, Hoboken, NJ
PB  - ISTE, Wiley
KW  - Text processing (Computer science)
KW  - Statistical methods
KW  - Automatic indexing
KW  - Discourse analysis
KW  - Data processing
KW  - COMPUTERS
KW  - Desktop Applications
KW  - Word Processing
KW  - bisacsh
KW  - Digital media
KW  - Desktop Publishing
KW  - Tractament de textos
KW  - Informàtica
KW  - lemac
KW  - Indexació automàtica
KW  - Anàlisi del discurs
KW  - Electronic books
KW  - Llibres electrònics
N1  - Includes bibliographical references and index; Probabilistic models for information retrieval / Stépahne Clinchant and Eric Gaussier -- Learnable ranking models for automatic text summarization and information retrieval / Massih-Réza Amini [and others] -- Logistic regression and text classification / Sujeevan Aseervatham [and others] -- Kernel methods for textual information access / Jean-Michel Renders -- Topic-based generative models for text information access / Jean-Cédric Chappelier -- Conditional random fields for information extraction / Isabelle Tellier and Marc Tommasi -- Statistical methods for machine translation / Alexandre Allauzen and François Yvon -- Information mining: methods and interfaces for accessing complex information / Josiane Mothe, Kurt Englmeier, and Fionn Murtagh -- Opinion detection as a topic classification problem / Juan-Manuel Torres-Moreno [and others] -- Appendix: A. Probabilistic models: an introduction / François Yvon; cse
N2  - 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
UR  - http://dx.doi.org/10.1002/9781118562796
ER  -