Skip to Main content Skip to Navigation

Knowledge Needs and Information Extraction

Nicolas Turenne
Abstract : 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.
Document type :
Complete list of metadata
Contributor : Migration Prodinra Connect in order to contact the contributor
Submitted on : Friday, June 5, 2020 - 11:13:52 PM
Last modification on : Friday, October 15, 2021 - 10:56:03 AM


  • HAL Id : hal-02804243, version 1
  • PRODINRA : 252712



Nicolas Turenne. Knowledge Needs and Information Extraction. Wiley-ISTE, 269 p., 2013, Computer Engineering and IT series, 978-1-84821-515-3. ⟨hal-02804243⟩



Record views