Knowledge Needs and Information Extraction

Книга Knowledge Needs and Information ExtractionАвтор:  Nicolas Turenne
Издательство: Wiley-ISTE

Год: March 4, 2013
Страниц: 288
Язык: английский
ISBN: 1848215150


 This book presents a theory of consciousness which is unique and sustainable in nature, based on physiological and cognitive-linguistic principles controlled by a number of socio-psycho-economic factors. In order to anchor this theory, which draws upon various disciplines, the author presents a number of different theories, all of which have been abundantly studied by scientists from both a theoretical and experimental standpoint, including models of social organization, ego theories, theories of the motivational system in psychology, theories of the motivational system in neurosciences, language modeling and computational modeling of motivation.

The theory presented in this book is based on the hypothesis that an individual’s main activities are developed by self-motivation, managed as an informational need. This is described in chapters covering self-motivation on a day-to-day basis, the notion of need, the hypothesis and control of cognitive self-motivation and a model of self-motivation which associates language and physiology. The subject of knowledge extraction is also covered, including the impact of self-motivation on written information, non-transversal and transversal text-mining techniques and the fields of interest of text mining.

Contents (оглавление книги):

  1. Consciousness: an Ancient and Current Topic of Study.
  2. Self-motivation on a Daily Basis.
  3. The Notion of Need.
  4. The Models of Social Organization.
  5. Self Theories.
  6. Theories of Motivation in Psychology.
  7. Theories of Motivation in Neurosciences.
  8. Language Modeling.
  9. Computational Modeling of Motivation.
  10. Hypothesis and Control of Cognitive Self-Motivation.
  11. A Model of Self-Motivation which Associates Language and Physiology.
  12. Impact of Self-Motivation on Written Information.
  13. Non-Transversal Text Mining Techniques.
  14. Transversal Text Mining Techniques.
  15. Fields of Interest for Text Mining.

About the Authors (об авторах книги)

Nicolas Turenne is a researcher at INRA in the Science and Society team at the University of Paris-Est Marne la Vallée in France. He specializes in knowledge extraction from texts with theoretical research into relational and stochastic models. His research topics also concern the sociology of uses, food and environmental sciences, and bioinformatics.


Скачать книгу из интернета:

Вас заинтересует / Intresting for you:

Big Data For Dummies
Big Data For Dummies 903 просмотров Алексей Вятский Tue, 21 Nov 2017, 13:21:03
Pro Vagrant
Pro Vagrant 857 просмотров Алексей Вятский Tue, 21 Nov 2017, 13:21:45
Learning ELK Stack
Learning ELK Stack 1006 просмотров Алексей Вятский Tue, 21 Nov 2017, 13:22:46
concrete5 Beginner’s Guide
concrete5 Beginner’s Guide 721 просмотров Алексей Вятский Tue, 21 Nov 2017, 13:22:46
Войдите чтобы комментировать