Aspects of Automatic Text Analysis

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Springer Science & Business Media, 2007 - Computers - 464 pages
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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.

 

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Contents

Machine Learning in a Semiotic Perspective
1
Precisiated Natural Language
31
On the Issue of Linguistic Approximation
61
A Semiotic Approach to Complex Systems
79
On the Mathematics of Semantic Spaces
95
Edda Leopold 117
116
Compositionality in Quantitative Semantics A Theoretical
139
A Structuralist Framework for Quantitative Linguistics
171
From Kilivila Verb
254
Experiments
277
Licensing Strategies in Natural Language Processing
301
The Surface of Argumentation and the Role
322
Computing with Words for Text Categorization
339
Neural Networks Fuzzy Models and Dynamic Logic
363
A Cognitive Systems Approach to Automatic Text Analysis
388
The Dimensionality of Text and Picture
421

Quantitative Analysis of Syntactic Structures
190
Latent Connotative Text Structure
211
Corpus Linguistic and Text Technological Modeling
230
List of Contributors 445
444
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