Rafael E. Banchs 
Text Mining with MATLAB® [PDF ebook] 

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Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It’s designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications.

The first part provides an introduction to basic procedures for handling and operating with text strings. Then, it reviews major mathematical modeling approaches. Statistical and geometrical models are also described along with main dimensionality reduction methods. Finally, it presents some specific applications such as document clustering, classification, search and terminology extraction.

All descriptions presented are supported with practical examples that are fully reproducible. Further reading, as well as additional exercises and projects, are proposed at the end of each chapter for those readers interested in conducting further experimentation.

€106.99
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Table des matières

Introduction.- Handling Textual Data.- Regular Expressions.- Basic Operations with Strings.- Reading and Writing Files.- Basic Corpus Statistics.- Statistical Models.- Geometrical Models.- Dimensionality Reduction.- Document Categorization.- Document Search.- Content Analysis.

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Langue Anglais ● Format PDF ● Pages 356 ● ISBN 9781461441519 ● Taille du fichier 39.9 MB ● Maison d’édition Springer New York ● Lieu NY ● Pays US ● Publié 2012 ● Téléchargeable 24 mois ● Devise EUR ● ID 2662709 ● Protection contre la copie DRM sociale

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