- STAFF PICKS
- GIFTS + GIFT CARDS
- SELL BOOKS
- FIND A STORE
This item may be
Check for Availability
Other titles in the Studies in Fuzziness and Soft Computing series:
Studies in Fuzziness and Soft Computing #209: Aspects of Automatic Text Analysis
Synopses & Reviews
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.
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.
What Our Readers Are Saying
Computers and Internet » Artificial Intelligence » General