Natural Language Processing and Text Mining

Editors: Kao, Anne, Poteet, Steve R. (Eds.)

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About this book

With the increasing importance of the Web and other text-heavy application areas, the demands for and interest in both text mining and natural language processing (NLP) have been rising. Researchers in text mining have hoped that NLP—the attempt to extract a fuller meaning representation from free text—can provide useful improvements to text mining applications of all kinds.

Bringing together a variety of perspectives from internationally renowned researchers, Natural Language Processing and Text Mining not only discusses applications of certain NLP techniques to certain Text Mining tasks, but also the converse, i.e., use of Text Mining to facilitate NLP. It explores a variety of real-world applications of NLP and text-mining algorithms in comprehensive detail, placing emphasis on the description of end-to-end solutions to real problems, and detailing the associated difficulties that must be resolved before the algorithm can be applied and its full benefits realized. In addition, it explores a number of cutting-edge techniques and approaches, as well as novel ways of integrating various technologies. Nevertheless, even readers with only a basic knowledge of data mining or text mining will benefit from the many illustrative examples and solutions.

Topics and features:

• Describes novel and high-impact text mining and/or natural language applications

• Points out typical traps in trying to apply NLP to text mining

• Illustrates preparation and preprocessing of text data – offering practical issues and examples

• Surveys related supporting techniques, problem types, and potential technique enhancements

• Examines the interaction of text mining and NLP

This state-of-the-art, practical volume will be an essential resource for professionals and researchers who wish to learn how to apply text mining and language processing techniques to real world problems. In addition, it can be used as a supplementary text for advanced students studying text mining and NLP.

Reviews

From the reviews:

"The papers in this book describe a range of natural language processing (NLP) techniques and applications, all originating from an ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) panel discussion. … Overall, the contributions are well balanced with respect to the different approaches presented … . The volume appears to serve its intended purpose, which is to provide an electric overview of the international research efforts in text mining, featuring relevant tools and techniques from NLP and machine learning." (Peter Jackson, Computing Reviews, March, 2008)


Table of contents (6 chapters)

  • Overview

    Anne Kao, Stephen R. Poteet

    Pages 1-7

  • Extracting Product Features and Opinions from Reviews

    Ana-Maria Popescu, Orena Etzioni

    Pages 9-28

  • Evaluating Self-Explanations in iSTART: Word Matching, Latent Semantic Analysis, and Topic Models

    Chutima Boonthum, Irwin B. Levinstein, Danielle S. McNamara

    Pages 91-106

  • Textual Signatures: Identifying Text-Types Using Latent Semantic Analysis to Measure the Cohesion of Text Structures

    Philip M. McCarthy, Stephen W. Briner, Vasile Rus, Danielle S. McNamara

    Pages 107-122

  • Automatic Document Separation: A Combination of Probabilistic Classification and Finite-State Sequence Modeling

    Mauritius A. R. Schmidtler, Jan W. Amtrup

    Pages 123-144

Buy this book

eBook $109.00
price for USA
  • ISBN 978-1-84628-754-1
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Download immediately after purchase
Hardcover $149.00
price for USA
  • ISBN 978-1-84628-175-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-1-84996-558-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Natural Language Processing and Text Mining
Editors
  • Anne Kao
  • Steve R. Poteet
Copyright
2007
Publisher
Springer-Verlag London
Copyright Holder
Springer-Verlag London
eBook ISBN
978-1-84628-754-1
DOI
10.1007/978-1-84628-754-1
Hardcover ISBN
978-1-84628-175-4
Softcover ISBN
978-1-84996-558-3
Edition Number
1
Number of Pages
XII, 265
Topics