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Text Mining with MATLAB®

  • Rafael E. Banchs
Book

Table of contents

  1. Front Matter
    Pages i-xi
  2. Rafael E. Banchs
    Pages 1-12
  3. Fundamentals

    1. Front Matter
      Pages 13-13
    2. Rafael E. Banchs
      Pages 15-32
    3. Rafael E. Banchs
      Pages 33-48
    4. Rafael E. Banchs
      Pages 49-75
    5. Rafael E. Banchs
      Pages 77-110
  4. Mathematical Models

    1. Front Matter
      Pages 111-111
    2. Rafael E. Banchs
      Pages 113-144
    3. Rafael E. Banchs
      Pages 145-173
    4. Rafael E. Banchs
      Pages 175-203
    5. Rafael E. Banchs
      Pages 205-234
  5. Methods and Applications

    1. Front Matter
      Pages 235-235
    2. Rafael E. Banchs
      Pages 237-276
    3. Rafael E. Banchs
      Pages 277-311
    4. Rafael E. Banchs
      Pages 313-347
  6. Back Matter
    Pages 349-355

About this book

Introduction

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.

Keywords

document clustering information retrieval matlab natural language processing text analytics text mining vector space model

Authors and affiliations

  • Rafael E. Banchs
    • 1
  1. 1.A*StarInstitute for Infocomm ResearchQueenstownSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4614-4151-9
  • Copyright Information Springer Science+Business Media New York 2013
  • Publisher Name Springer, New York, NY
  • eBook Packages Computer Science
  • Print ISBN 978-1-4614-4150-2
  • Online ISBN 978-1-4614-4151-9
  • Buy this book on publisher's site
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