LEADER 03385nam 2200685 a 450 001 9910972509303321 005 20240513082250.0 010 $a9786612154560 010 $a9781282154568 010 $a1282154567 010 $a9789027292445 010 $a9027292442 024 7 $a10.1075/nlp.5 035 $a(CKB)1000000000535057 035 $a(OCoLC)648254343 035 $a(CaPaEBR)ebrary10176621 035 $a(SSID)ssj0000208645 035 $a(PQKBManifestationID)12012290 035 $a(PQKBTitleCode)TC0000208645 035 $a(PQKBWorkID)10244485 035 $a(PQKB)11393920 035 $a(MiAaPQ)EBC622897 035 $a(DE-B1597)721205 035 $a(DE-B1597)9789027292445 035 $a(EXLCZ)991000000000535057 100 $a20150424d2007|||| s|| | 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aNatural Language Processing for Online Applications : Text Retrieval, Extraction and Categorization 205 $a1st ed. 210 $aAmsterdam, NLD$cJohn Benjamins Publishing Company$d20070601 210 $cJohn Benjamins Publishing Company 215 $a1 online resource (236 p.) 225 0 $aNatural language processing Natural language processing for online applications 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a9789027249920 311 08$a902724992X 327 $aNatural Language Processing for Online Applications -- Editorial page -- Title page -- LCC data -- Table of contents -- Preface -- Chapter 1: Natural language processing -- Chapter 2: Document retrieval -- Chapter 3: Information extraction -- Chapter 4: Text categorization -- Chapter 5: Towards text mining -- Index -- Natural Language Processing. 330 $aThis text covers the technologies of document retrieval, information extraction, and text categorization in a way which highlights commonalities in terms of both general principles and practical concerns. It assumes some mathematical background on the part of the reader, but the chapters typically begin with a non-mathematical account of the key issues. Current research topics are covered only to the extent that they are informing current applications; detailed coverage of longer term research and more theoretical treatments should be sought elsewhere. There are many pointers at the ends of the chapters that the reader can follow to explore the literature. However, the book does maintain a strong emphasis on evaluation in every chapter both in terms of methodology and the results of controlled experimentation. 606 $aCOMPUTERS$2bisac 606 $aNatural Language Processing$2bisac 606 $aNatural language processing (Computer science) 606 $aComputer Science$2HILCC 606 $aEngineering & Applied Sciences$2HILCC 615 7$aCOMPUTERS 615 7$aNatural Language Processing 615 0$aNatural language processing (Computer science) 615 7$aComputer Science 615 7$aEngineering & Applied Sciences 676 $a006.3/5 700 $aJackson$b Peter$f1948-$01801898 702 $aMoulinier$b Isabelle 801 0$bPQKB 906 $aBOOK 912 $a9910972509303321 996 $aNatural Language Processing for Online Applications : Text Retrieval, Extraction and Categorization$94347355 997 $aUNINA