001440712 000__ 03918cam\a2200553\i\4500
001440712 001__ 1440712
001440712 003__ OCoLC
001440712 005__ 20230309004657.0
001440712 006__ m\\\\\o\\d\\\\\\\\
001440712 007__ cr\cn\nnnunnun
001440712 008__ 211102s2021\\\\sz\a\\\\ob\\\\000\0\eng\d
001440712 019__ $$a1287777692$$a1292518304
001440712 020__ $$a9783030876951$$q(electronic bk.)
001440712 020__ $$a3030876950$$q(electronic bk.)
001440712 020__ $$z9783030876944$$q(print)
001440712 0247_ $$a10.1007/978-3-030-87695-1$$2doi
001440712 035__ $$aSP(OCoLC)1281796491
001440712 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dDCT$$dOCLCF$$dDKU$$dOCLCO$$dTXM$$dOCLCO$$dOCLCQ$$dCOM$$dYDX$$dUKAHL$$dOCLCQ
001440712 049__ $$aISEA
001440712 050_4 $$aQA76.9.D343
001440712 08204 $$a006.3/12$$223
001440712 1001_ $$aBanchs, Rafael E.,$$eauthor.
001440712 24510 $$aText mining with MATLAB® /$$cby Rafael E. Banchs.
001440712 250__ $$aSecond edition.
001440712 264_1 $$aCham, Switzerland :$$bSpringer,$$c2021.
001440712 300__ $$a1 online resource (xii, 475 pages) :$$billustrations (some color)
001440712 336__ $$atext$$btxt$$2rdacontent
001440712 337__ $$acomputer$$bc$$2rdamedia
001440712 338__ $$aonline resource$$bcr$$2rdacarrier
001440712 347__ $$atext file
001440712 347__ $$bPDF
001440712 504__ $$aIncludes bibliographical references.
001440712 5050_ $$a1. Introduction -- PART I: FUNDAMENTALS -- 2. Handling Text Data -- 3. Regular Expressions -- 4. Basic Operations with Strings -- 5. Reading and Writing Files -- 6. The Structure of Language -- PART II: MATHEMATICAL MODELS -- 7. Basic Corpus Statistics -- 8. Statistical Models -- 9. Geometrical Models -- 10. Dimensionality Reduction -- PART III: METHODS AND APPLICATIONS -- 11. Document Categorization -- 12. Document Search -- 13. Content Analysis -- 14. Keyword Extraction and Summarization -- 15. Question Answering and Dialogue.
001440712 506__ $$aAccess limited to authorized users.
001440712 520__ $$aText Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It is designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications. The book is structured in three main parts: The first part, Fundamentals, introduces basic procedures and methods for manipulating and operating with text within the MATLAB programming environment. The second part of the book, Mathematical Models, is devoted to motivating, introducing, and explaining the two main paradigms of mathematical models most commonly used for representing text data: the statistical and the geometrical approach. Eventually, the third part of the book, Techniques and Applications, addresses general problems in text mining and natural language processing applications such as document categorization, document search, content analysis, summarization, question answering, and conversational systems. This second edition includes updates in line with the recently released "Text Analytics Toolbox" within the MATLAB product and introduces three new chapters and six new sections in existing ones. All descriptions presented are supported with practical examples that are fully reproducible. Further reading, as well as additional exercises and projects, are proposed at the end of each chapter for those readers interested in conducting further experimentation
001440712 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed November 2, 2021).
001440712 63000 $$aMATLAB.
001440712 650_0 $$aText data mining.
001440712 650_0 $$aNatural language processing (Computer science)
001440712 650_6 $$aTraitement automatique des langues naturelles.
001440712 655_0 $$aElectronic books.
001440712 77608 $$iPrint version: $$z9783030876944
001440712 77608 $$iPrint version: $$z9783030876968
001440712 852__ $$bebk
001440712 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-87695-1$$zOnline Access$$91397441.1
001440712 909CO $$ooai:library.usi.edu:1440712$$pGLOBAL_SET
001440712 980__ $$aBIB
001440712 980__ $$aEBOOK
001440712 982__ $$aEbook
001440712 983__ $$aOnline
001440712 994__ $$a92$$bISE