000			03293cam a2200577Ii 4500
001			9780429469275
003			FlBoTFG
005			20240213122823.0
006			m o d
007			cr cnu---unuuu
008			190901s2020 flu ob 001 0 eng d
040			_aOCoLC-P _beng _erda _cOCoLC-P
020			_a9780429469275 _qelectronic book
020			_a0429469276 _qelectronic book
020			_a9780429890260 _qelectronic book
020			_a0429890265 _qelectronic book
020			_a9780429890253 _q(electronic bk. : Mobipocket)
020			_a0429890257 _q(electronic bk. : Mobipocket)
020			_a9780429890277 _q(electronic bk. : PDF)
020			_a0429890273 _q(electronic bk. : PDF)
020			_z9781138601826
020			_z1138601829
035			_a(OCoLC)1114965659 _z(OCoLC)1114510678
035			_a(OCoLC-P)1114965659
050		4	_aQ325.5 _b.Z59 2020
072		7	_aCOM _x021030 _2bisacsh
072		7	_aCOM _x037000 _2bisacsh
072		7	_aMAT _x004000 _2bisacsh
072		7	_aUN _2bicssc
082	0	4	_a006.3/12 _223
100	1		_aŽižka, Jan, _eauthor.
245	1	0	_aText mining with machine learning : _bprinciples and techniques / _cJan Žižka, František Dařena, Arnošt Svoboda.
264		1	_aBoca Raton, FL : _bCRC Press, _c2020.
300			_a1 online resource
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
505	0		_a1. Introduction to Text Mining with Machine Learning -- 2. Introduction to R -- 3. Structured Text Representations -- 4. Classification -- 5. Bayes Classifier -- 6. Nearest Neighbors -- 7. Decision Trees -- 8. Random Forest -- 9. Adaboost -- 10. Support Vector Machines -- 11. Deep Learning -- 12. Clustering -- 13. Word Embeddings -- 14. Feature Selection.
520			_a"This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts. By analysing various data sets, conclusions, which are not normally evident, emerge and can be used for various purposes and applications. The book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step demonstrations of how to reveal the semantic contents in real-world datasets using the popular R-language with its implemented machine learning algorithms. The book is not only aimed at IT specialists, but is meant for a wider audience that needs to process big sets of text documents and has basic knowledge of the subject, e.g. e-mail service providers, online shoppers, librarians, etc"-- _cProvided by publisher.
588			_aOCLC-licensed vendor bibliographic record.
650		0	_aMachine learning.
650		0	_aComputational linguistics.
650		0	_aSemantics _xData processing.
650		7	_aCOMPUTERS / Database Management / Data Mining _2bisacsh
650		7	_aCOMPUTERS / Machine Theory _2bisacsh
650		7	_aMATHEMATICS / Arithmetic _2bisacsh
700	1		_aDařena, František, _d1979- _eauthor.
700	1		_aSvoboda, Arnošt, _d1949- _eauthor.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9780429469275
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c4615 _d4615