Aspects of Automatic Text Analysis

  • Alexander Mehler
  • Reinhard Köhler

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 209)

Table of contents

  1. Front Matter
    Pages I-IX
  2. Introduction: Machine Learning in a Semiotic Perspective

    1. Alexander Mehler, Reinhard Köhler
      Pages 1-29
  3. Information Modeling

    1. Front Matter
      Pages I-IX
    2. Lotfi A. Zadeh
      Pages 33-59
    3. George J. Klir, Kari Sentz
      Pages 61-78
    4. Harald Atmanspacher
      Pages 79-91
  4. Models of Semantic Spaces

    1. Front Matter
      Pages I-IX
    2. Peter Gritzmann
      Pages 95-115
    3. Edda Leopold
      Pages 117-137
  5. Quantitative Linguistic Modeling

    1. Front Matter
      Pages I-IX
    2. Stefan Bordag, Gerhard Heyer
      Pages 171-189
    3. Arne Ziegler, Gabriel Altmann
      Pages 211-229
  6. Corpus Linguistic and Text Technological Modeling

  7. Text Categorization and Classification

    1. Front Matter
      Pages I-IX
    2. Janusz Kacprzyk, Slawomir Zadrożny
      Pages 339-362
    3. Leonid I. Perlovsky
      Pages 363-386
  8. Cognitive Modeling

    1. Front Matter
      Pages I-IX
    2. Gert Rickheit, Hans Strohner
      Pages 389-399
    3. Hans-Jürgen Eikmeyer, Walther Kindt, Hans Strohner
      Pages 401-417
  9. Visual Systems Modeling

  10. Back Matter
    Pages 444-464

About this book


The significance of natural language texts as the prime information structure for the management and dissemination of knowledge is - as the rise of the web shows - still increasing. Making relevant texts available in different contexts is of primary importance for efficient task completion in academic and industrial settings. Meeting this demand requires automatic form and content based processing of texts, which enables to reconstruct or even to explore the dynamic relationship of language system, text event and context type. The rise of new application areas, disciplines and methods (e.g. text and web mining) testify to the importance of this task. Moreover, the growing area of new media demands the further development of methods of text analysis with respect to their computational linguistic, information theoretical, and mathematical underpinning. This book contributes to this task. It collects contributions of authors from a multidisciplinary area who focus on the topic of automatic text analysis from several (i.e. linguistic, mathematical, and information theoretical) perspectives. It describes methodological as well as methodical foundations and collects approaches in the field of text and corpus linguistics. In this sense, it contributes to the computational linguistic and information theoretical grounding of automatic text analysis.


calculus classification corpus fuzzy learning linguistics machine learning mathematics modeling natural language neural networks semantics system modeling text analysis web mining

Authors and affiliations

  • Alexander Mehler
    • 1
  • Reinhard Köhler
    • 2
  1. 1.Universität Bielefeld Fakultät für Linguistik und LiteraturwissenschaftBielefeldGermany
  2. 2.Universität Trier, FB II Linguistische Datenverarbeitung, ComputerlinguistikTrierGermany

Bibliographic information

  • DOI
  • Copyright Information Springer 2007
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-540-37520-3
  • Online ISBN 978-3-540-37522-7
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site
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