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Text mining with machine learning = ...
~
Žižka, Jan.
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Text mining with machine learning = principles and techniques /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Text mining with machine learning/ Jan Žižka, František Dařena, Arnošt Svoboda.
Reminder of title:
principles and techniques /
Author:
Žižka, Jan.
other author:
Dařena, František,
Published:
Boca Raton, FL :CRC Press, : c2020.,
Description:
1 online resource.
Notes:
"A Science Publishers book."
Subject:
Machine learning. -
Online resource:
https://www.taylorfrancis.com/books/9780429469275
ISBN:
9780429469275
Text mining with machine learning = principles and techniques /
Žižka, Jan.
Text mining with machine learning
principles and techniques /[electronic resource] :Jan Žižka, František Dařena, Arnošt Svoboda. - Boca Raton, FL :CRC Press,c2020. - 1 online resource.
"A Science Publishers book."
Includes bibliographical references and index.
"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"--
ISBN: 9780429469275Subjects--Topical Terms:
533906
Machine learning.
LC Class. No.: Q325.5 / .Z59 2020
Dewey Class. No.: 006.3/12
Text mining with machine learning = principles and techniques /
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principles and techniques /
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"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"--
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https://www.taylorfrancis.com/books/9780429469275
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1 records • Pages 1 •
1
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W9449932
電子資源
11.線上閱覽_V
電子書
EB Q325.5 .Z59 2020
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1 records • Pages 1 •
1
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