Terminology Saturation Detection, Measurement and Use

This book highlights an innovative approach for extracting terminological cores from subject domain-bounded collections of professional texts. The approach is based on exploiting the phenomenon of terminological saturation. The book presents the formal framework for the method of detecting and measu...

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Bibliographic Details
Main Authors Kosa, Victoria, Ermolayev, Vadim
Format eBook
LanguageEnglish
Published Singapore Springer 2022
Springer Nature Singapore
Springer Singapore
Edition1
SeriesCognitive Science and Technology
Subjects
Artificial Intelligence
Cognitive Psychology
Computational Intelligence
Computer Science
Data mining
Data Mining and Knowledge Discovery
Engineering
Neurosciences
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Summary:This book highlights an innovative approach for extracting terminological cores from subject domain-bounded collections of professional texts. The approach is based on exploiting the phenomenon of terminological saturation. The book presents the formal framework for the method of detecting and measuring terminological saturation as a successive approximation process. It further offers the suite of the algorithms that implement the method in the software and comprehensively evaluates all the aspects of the method and possible input configurations in the experiments on synthetic and real collections of texts in several subject domains. The book demonstrates the use of the developed method and software pipeline in industrial and academic use cases. It also outlines the potential benefits of the method for the adoption in industry.
ISBN:9789811686290
9811686297
ISSN:2195-3988
2195-3996
DOI:10.1007/978-981-16-8630-6