000			03539nam a22004095i 4500
630	0	0	_aMATLAB (Archivo de ordenador) _9683084
999			_c361651 _d361651 _x1
001			361651
003			ES-MaUEC
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008			211021s2021 sz | s |||| 0|eng d
020			_a9783030876951
024	7		_a10.1007/978-3-030-87695-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aQA76.9 .D343 _b2021 EB
100			_aBanchs, Rafael E. _997170
245	1	0	_aText Mining with MATLAB® _cby Rafael E. Banchs.
250			_aSecond edition 2021
264		1	_aCham _bSpringer International Publising _c2021
300			_a1 recurso en línea (XII, 475 páginas) _b86 ilustraciones, 85 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_aarchivo de texto _bPDF
490	0		_aComputer Science (SpringerNature-11645)
490	0		_aComputer Science (R0) (SpringerNature-43710)
505	0		_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.
520	3		_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.
630	0	7	_aMATLAB (Archivo de ordenador) _9683084 _2ES-MaUEC
988			_aSpringer_Computer_2021
776	0	8	_iPrinted edition: _z9783030876944
776	0	8	_iPrinted edition: _z9783030876968
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-87695-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b02/2022 _dz _eh _zSI