LEADER 03572nam 22006615 450 001 9910437591803321 005 20200701034006.0 010 $a1-283-62379-X 010 $a9786613936240 010 $a1-4614-4151-X 024 7 $a10.1007/978-1-4614-4151-9 035 $a(CKB)2560000000090389 035 $a(EBL)994294 035 $a(OCoLC)807986547 035 $a(SSID)ssj0000746151 035 $a(PQKBManifestationID)11468373 035 $a(PQKBTitleCode)TC0000746151 035 $a(PQKBWorkID)10861772 035 $a(PQKB)11303597 035 $a(DE-He213)978-1-4614-4151-9 035 $a(MiAaPQ)EBC994294 035 $a(PPN)168299410 035 $a(EXLCZ)992560000000090389 100 $a20120814d2013 u| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aText Mining with MATLABŪ$b[electronic resource] /$fby Rafael E. Banchs 205 $a1st ed. 2013. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2013. 215 $a1 online resource (355 p.) 300 $aDescription based upon print version of record. 311 $a1-4899-9464-5 311 $a1-4614-4150-1 320 $aIncludes bibliographical references and index. 327 $aIntroduction -- Handling Textual Data -- Regular Expressions -- Basic Operations with Strings -- Reading and Writing Files -- Basic Corpus Statistics -- Statistical Models -- Geometrical Models -- Dimensionality Reduction -- Document Categorization -- Document Search -- Content Analysis. 330 $aText Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It?s designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications. The first part provides an introduction to basic procedures for handling and operating with text strings. Then, it reviews major mathematical modeling approaches. Statistical and geometrical models are also described along with main dimensionality reduction methods. Finally, it presents some specific applications such as document clustering, classification, search and terminology extraction. All descriptions presented are supported with practical examples that are fully reproducible. Further reading, as well as additional exercises and projects, are proposed at the end of each chapter for those readers interested in conducting further experimentation. 606 $aData mining 606 $aComputer science?Mathematics 606 $aInformation storage and retrieval 606 $aData Mining and Knowledge Discovery$3https://scigraph.springernature.com/ontologies/product-market-codes/I18030 606 $aMath Applications in Computer Science$3https://scigraph.springernature.com/ontologies/product-market-codes/I17044 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 615 0$aData mining. 615 0$aComputer science?Mathematics. 615 0$aInformation storage and retrieval. 615 14$aData Mining and Knowledge Discovery. 615 24$aMath Applications in Computer Science. 615 24$aInformation Storage and Retrieval. 676 $a006.312 676 $a519.5/4 700 $aBanchs$b Rafael E$4aut$4http://id.loc.gov/vocabulary/relators/aut$0878445 906 $aBOOK 912 $a9910437591803321 996 $aText Mining with MATLABŪ$91961266 997 $aUNINA