Text mining with machine learning: principles and techniques
1. 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. Cl...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
2021
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis Beschreibung |
| Zusammenfassung: | 1. 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 "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"-- |
| Beschreibung: | Literaturverzeichnis: Seite 323-346 |
| Beschreibung: | xii, 351 Seiten Illustrationen, Diagramme |
| ISBN: | 9781032086217 9781138601826 |
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| illustrated | Illustrated |
| index_date | 2024-07-03T18:33:24Z |
| indexdate | 2024-07-10T09:15:28Z |
| institution | BVB |
| isbn | 9781032086217 9781138601826 |
| language | English |
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| physical | xii, 351 Seiten Illustrationen, Diagramme |
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| spelling | Žižka, Jan 19XX- Verfasser (DE-588)1038323231 aut Text mining with machine learning principles and techniques Jan Žižka (Machine learning consultant, Brno, Czech Republic), František Dařena (Department of Informatics, Mendel University, Brno, Czech Republic), Arnošt Svoboda (Department of Applied Mathematics & Computer Science, Masaryk University, Brno, Czech Republic) Boca Raton ; London ; New York CRC Press 2021 xii, 351 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Literaturverzeichnis: Seite 323-346 1. 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 "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"-- Computerlinguistik (DE-588)4035843-4 gnd rswk-swf Text Mining (DE-588)4728093-1 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Machine learning Computational linguistics Semantics / Data processing Text Mining (DE-588)4728093-1 s Computerlinguistik (DE-588)4035843-4 s Maschinelles Lernen (DE-588)4193754-5 s DE-604 Dařena, František 1979- Verfasser (DE-588)1082235296 aut Svoboda, Arnošt 1949- Verfasser (DE-588)1225502187 aut B:DE-89 V:DE-601 pdf/application https://www.gbv.de/dms/tib-ub-hannover/1672289416.pdf Inhaltsverzeichnis https://www.routledge.com/Text-Mining-with-Machine-Learning-Principles-and-Techniques/Zizka-Darena-Svoboda/p/book/9781138601826 Verlag Beschreibung |
| spellingShingle | Žižka, Jan 19XX- Dařena, František 1979- Svoboda, Arnošt 1949- Text mining with machine learning principles and techniques Computerlinguistik (DE-588)4035843-4 gnd Text Mining (DE-588)4728093-1 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)4035843-4 (DE-588)4728093-1 (DE-588)4193754-5 |
| title | Text mining with machine learning principles and techniques |
| title_auth | Text mining with machine learning principles and techniques |
| title_exact_search | Text mining with machine learning principles and techniques |
| title_exact_search_txtP | Text mining with machine learning principles and techniques |
| title_full | Text mining with machine learning principles and techniques Jan Žižka (Machine learning consultant, Brno, Czech Republic), František Dařena (Department of Informatics, Mendel University, Brno, Czech Republic), Arnošt Svoboda (Department of Applied Mathematics & Computer Science, Masaryk University, Brno, Czech Republic) |
| title_fullStr | Text mining with machine learning principles and techniques Jan Žižka (Machine learning consultant, Brno, Czech Republic), František Dařena (Department of Informatics, Mendel University, Brno, Czech Republic), Arnošt Svoboda (Department of Applied Mathematics & Computer Science, Masaryk University, Brno, Czech Republic) |
| title_full_unstemmed | Text mining with machine learning principles and techniques Jan Žižka (Machine learning consultant, Brno, Czech Republic), František Dařena (Department of Informatics, Mendel University, Brno, Czech Republic), Arnošt Svoboda (Department of Applied Mathematics & Computer Science, Masaryk University, Brno, Czech Republic) |
| title_short | Text mining with machine learning |
| title_sort | text mining with machine learning principles and techniques |
| title_sub | principles and techniques |
| topic | Computerlinguistik (DE-588)4035843-4 gnd Text Mining (DE-588)4728093-1 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Computerlinguistik Text Mining Maschinelles Lernen |
| url | https://www.gbv.de/dms/tib-ub-hannover/1672289416.pdf https://www.routledge.com/Text-Mining-with-Machine-Learning-Principles-and-Techniques/Zizka-Darena-Svoboda/p/book/9781138601826 |
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