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Other titles in the Studies in Fuzziness and Soft Computing series:

Studies in Fuzziness and Soft Computing #209: Aspects of Automatic Text Analysis

Studies in Fuzziness and Soft Computing #209: Aspects of Automatic Text Analysis Cover

 

Synopses & Reviews

Publisher Comments:

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.

Synopsis:

This book presents recent developments in automatic text analysis. Providing an overview of linguistic modeling, it collects contributions of authors from a multidisciplinary area that focus on the topic of automatic text analysis from different perspectives. It includes chapters on cognitive modeling and visual systems modeling, and contributes to the computational linguistic and information theoretical grounding of automatic text analysis.

Table of Contents

Part I Information Modeling.- Part II Models of Semantic Spaces.- Part III Quantitative Linguistic Modeling.- Part IV Corpus Linguistic and Text Technological Modeling.- Part V Text Categorization and Classification.- Part VI Cognitive Modeling.- Part VII Visual Systems Modeling.

Product Details

ISBN:
9783642072253
Publisher:
Springer
Subject:
Applied
Author:
Kohler, Reinhard
Author:
Mehler, Alexander
Subject:
Automatic Text Analysis
Subject:
Cognitive modeling
Subject:
Information modeling
Subject:
Quantitative Linguistic Modeling
Subject:
Visual stems Modeling
Subject:
Appl.Mathematics/Computational Methods of Engineering
Subject:
Artificial Intelligence (incl. Robotics)
Subject:
Document Preparation and Text Processing
Subject:
Language Translation and Linguistics
Subject:
Pattern Recognition <P>Presents recent developments in automatic text analysis</P> <P>Overview of linguistic modeling</P> <P>Includes chaptes on cognitive modeling and visual systems modeling</P>
Subject:
Mathematics-Applied
Subject:
Pattern recognition.
Copyright:
Edition Description:
Softcover reprint of hardcover 1st ed. 2007
Series:
Studies in Fuzziness and Soft Computing
Series Volume:
209
Publication Date:
20101124
Binding:
TRADE PAPER
Language:
English
Pages:
474
Dimensions:
235 x 155 mm 713 gr

Related Subjects

Computers and Internet » Artificial Intelligence » General
Computers and Internet » Computers Reference » Document Management
Computers and Internet » Computers Reference » General
Computers and Internet » Internet » Marketing
Science and Mathematics » Mathematics » Applied

Studies in Fuzziness and Soft Computing #209: Aspects of Automatic Text Analysis
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Product details 474 pages Not Avail - English 9783642072253 Reviews:
"Synopsis" by , This book presents recent developments in automatic text analysis. Providing an overview of linguistic modeling, it collects contributions of authors from a multidisciplinary area that focus on the topic of automatic text analysis from different perspectives. It includes chapters on cognitive modeling and visual systems modeling, and contributes to the computational linguistic and information theoretical grounding of automatic text analysis.
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