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Mining Text Data

Editors: Aggarwal, Charu C., Zhai, ChengXiang (Eds.)

  • Covers Text Embedded with Heterogeneous and Multimedia Data
  • All chapters contain a comprehensive survey including the key research content on the topic, and the future directions of research in the field
  • This book simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from it
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Buy this book

eBook $109.00
price for USA
  • ISBN 978-1-4614-3223-4
  • 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 978-1-4614-3222-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-1-4899-8920-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned.

Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases.

Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.

Table of contents (14 chapters)

  • An Introduction to Text Mining

    Aggarwal, Charu C. (et al.)

    Pages 1-10

  • Information Extraction from Text

    Jiang, Jing

    Pages 11-41

  • A Survey of Text Summarization Techniques

    Nenkova, Ani (et al.)

    Pages 43-76

  • A Survey of Text Clustering Algorithms

    Aggarwal, Charu C. (et al.)

    Pages 77-128

  • Dimensionality Reduction and Topic Modeling: From Latent Semantic Indexing to Latent Dirichlet Allocation and Beyond

    Crain, Steven P. (et al.)

    Pages 129-161

Buy this book

eBook $109.00
price for USA
  • ISBN 978-1-4614-3223-4
  • 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 978-1-4614-3222-7
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-1-4899-8920-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Mining Text Data
Editors
  • Charu C. Aggarwal
  • ChengXiang Zhai
Copyright
2012
Publisher
Springer-Verlag New York
Copyright Holder
Springer Science+Business Media, LLC
eBook ISBN
978-1-4614-3223-4
DOI
10.1007/978-1-4614-3223-4
Hardcover ISBN
978-1-4614-3222-7
Softcover ISBN
978-1-4899-8920-8
Edition Number
1
Number of Pages
XII, 524
Topics