Overview
- Presents recent developments in automatic text analysis
- Overview of linguistic modeling
- Includes chaptes on cognitive modeling and visual systems modeling
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 209)
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Table of contents (20 chapters)
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Front Matter
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Introduction: Machine Learning in a Semiotic Perspective
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Information Modeling
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Front Matter
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Models of Semantic Spaces
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Front Matter
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Quantitative Linguistic Modeling
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Front Matter
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Corpus Linguistic and Text Technological Modeling
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Front Matter
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Text Categorization and Classification
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Front Matter
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Keywords
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.
Reviews
From the reviews:
"The book considers recent developments in automatic text analysis, and provides an overview of linguistic modelling … . As a scientific book from a respected publisher, it naturally is fully referenced at the end of each chapter. The book is of a decent font-size, clear black (not grey!) print, and is easy on the eyes … . Its intended audience is students and researchers in soft computing and text analysis … ." (Eric Jukes, Informer, Issue 27, Summer, 2008)
Authors and Affiliations
Bibliographic Information
Book Title: Aspects of Automatic Text Analysis
Authors: Alexander Mehler, Reinhard Köhler
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-540-37522-7
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2007
Hardcover ISBN: 978-3-540-37520-3Published: 20 November 2006
Softcover ISBN: 978-3-642-07225-3Published: 25 November 2010
eBook ISBN: 978-3-540-37522-7Published: 24 June 2007
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: VIII, 444
Topics: Mathematical and Computational Engineering, Artificial Intelligence, Natural Language Processing (NLP), Natural Language Processing (NLP), Pattern Recognition