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Text Mining with Machine Learning - Principles and Techniques (Paperback) Loot Price: R1,574
Discovery Miles 15 740
Text Mining with Machine Learning - Principles and Techniques (Paperback): Jan Zizka, Frantisek Darena, Arnost Svoboda

Text Mining with Machine Learning - Principles and Techniques (Paperback)

Jan Zizka, Frantisek Darena, Arnost Svoboda

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Loot Price R1,574 Discovery Miles 15 740 | Repayment Terms: R148 pm x 12*

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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. The book starts with an introduction to text-based natural language data processing and its goals and problems. It focuses on machine learning, presenting various algorithms with their use and possibilities, and reviews the positives and negatives. Beginning with the initial data pre-processing, a reader can follow the steps provided in the R-language including the subsuming of various available plug-ins into the resulting software tool. A big advantage is that R also contains many libraries implementing machine learning algorithms, so a reader can concentrate on the principal target without the need to implement the details of the algorithms her- or himself. To make sense of the results, the book also provides explanations of the algorithms, which supports the final evaluation and interpretation of the results. The examples are demonstrated using realworld data from commonly accessible Internet sources.

General

Imprint: Taylor & Francis
Country of origin: United Kingdom
Release date: June 2021
First published: 2020
Authors: Jan Zizka • Frantisek Darena • Arnost Svoboda
Dimensions: 234 x 156mm (L x W)
Format: Paperback
Pages: 368
ISBN-13: 978-1-03-208621-7
Categories: Books > Computing & IT > General theory of computing > Data structures
Books > Computing & IT > Computer programming > Algorithms & procedures
Books > Computing & IT > Applications of computing > Databases > Data mining
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
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LSN: 1-03-208621-1
Barcode: 9781032086217

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