000 | 02981cam a2200433 i 4500 | ||
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001 | 22349418 | ||
003 | OSt | ||
005 | 20240822141257.0 | ||
006 | m |o d | | ||
007 | cr ||||||||||| | ||
008 | 190821s2019 flua ob 001 0 eng | ||
010 | _a 2020756444 | ||
020 | _a9781032086217 | ||
020 |
_z9781138601826 _q(hardback) |
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040 |
_aDLC _beng _erda _epn _cDLC |
||
050 | 0 | 0 | _aQ325.5 |
082 | 0 | 0 |
_a006.312 ZIZ 2020 _223 |
100 | 1 |
_aŽižka, Jan, _eauthor. |
|
245 | 1 | 0 |
_aText mining with machine learning : _bprinciples and techniques / _cJan Žižka, Machine Learning Consiltant, Brono, Czech Republic, František Dařena, Department of Informatics, Mendel University, Brno, Czech Republic, Arnošt Svoboda, Department of Applied Mathematics and Computer Science, Masaryk University, Brno, Czech Republic. |
250 | _aFirst. | ||
264 | 1 |
_aBoca Raton : _bCRC Press, _c2020. |
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300 | _a1 online resource (xii, 351 pages) | ||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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504 | _aIncludes bibliographical references and index. | ||
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 -- References -- Index -- Color Section. | |
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. |
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588 | _aDescription based on print version record and CIP data provided by publisher; resource not viewed. | ||
650 | 0 | _aMachine learning. | |
650 | 0 | _aComputational linguistics. | |
650 | 0 |
_aSemantics _xData processing. |
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700 | 1 |
_aDařena, František, _d1979- _eauthor. |
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700 | 1 |
_aSvoboda, Arnošt, _d1949- _eauthor. |
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776 | 0 | 8 |
_iPrint version: _tText mining with machine learning _dBoca Raton : CRC Press, 2019. _z9781138601826 _w(DLC) 2019035868 |
906 |
_a0 _bcbc _corigcop _d1 _eecip _f20 _gy-gencatlg |
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942 |
_2ddc _cBK _n0 |
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999 |
_c166 _d166 |