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© 2019

Text Mining

Concepts, Implementation, and Big Data Challenge

Book

Part of the Studies in Big Data book series (SBD, volume 45)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Part I

    1. Front Matter
      Pages 1-2
    2. Taeho Jo
      Pages 3-17
    3. Taeho Jo
      Pages 19-40
    4. Taeho Jo
      Pages 41-58
    5. Taeho Jo
      Pages 59-75
  3. Part II

    1. Front Matter
      Pages 77-78
    2. Taeho Jo
      Pages 101-127
    3. Taeho Jo
      Pages 129-156
    4. Taeho Jo
      Pages 157-179
  4. Part III

    1. Front Matter
      Pages 181-181
    2. Taeho Jo
      Pages 183-201
    3. Taeho Jo
      Pages 203-224
    4. Taeho Jo
      Pages 225-247
    5. Taeho Jo
      Pages 249-268
  5. Part IV

    1. Front Matter
      Pages 269-270
    2. Taeho Jo
      Pages 271-294
    3. Taeho Jo
      Pages 295-317
    4. Taeho Jo
      Pages 319-340

About this book

Introduction

This book discusses text mining and different ways this type of data mining can be used to find implicit knowledge from text collections. The author provides the guidelines for implementing text mining systems in Java, as well as concepts and approaches. The book starts by providing detailed text preprocessing techniques and then goes on to provide concepts, the techniques, the implementation, and the evaluation of text categorization. It then goes into more advanced topics including text summarization, text segmentation, topic mapping, and automatic text management.

  • Presents techniques of preprocessing texts into structured forms;
  • Outlines concepts of text categorization and clustering, their algorithms, and implementation guides;
  • Includes advanced topics such as text summarization, text segmentation, topic mapping, and automatic text management.

Keywords

Data mining Text mining Tex mining systems in Java Text categorization Text summarization Text segmentation Automatic text management Text clustering

Authors and affiliations

  1. 1.School of GameHongik UniversitySeoulKorea (Republic of)

About the authors

Dr. Taeho Jo works as a faculty member for school of game in Hongik University, South Korea. He received his PhD from University of Ottawa in 2006. His research spans text mining, neural networks, machine learning, and information retrieval. He has four years’ experience working for industrial organizations and ten years’ experience working for in academia. He has published almost 150 research papers, and he was awarded two times in the world wide biography dictionary, “Marquis Who’s Who in the World”.

Bibliographic information