Author: Nicolas Turenne
Publisher: John Wiley & Sons
ISBN: 1118574591
Category : Computers
Languages : en
Pages : 292
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Book Description
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: 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 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.
Author: Maria Teresa Pazienza
Publisher: Springer
ISBN: 3540450920
Category : Computers
Languages : en
Pages : 166
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Book Description
The revised versions of lectures given at the Summer Convention on Information Extraction, SCIE 2002, held in Frascati, Italy in July 2002. The following lectures by leading authorities in the field of information extraction are included: - acquisition of domain knowledge - terminology mining - finite-state approaches to Web IE - measuring term representatives - agent-based ontological mediation in IE systems - information retrieval and IE in question answering systems - natural language communication with virtual actors
Author: Mário Rodrigues
Publisher: Springer
ISBN: 3319155636
Category : Computers
Languages : en
Pages : 82
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Book Description
This book explains how can be created information extraction (IE) applications that are able to tap the vast amount of relevant information available in natural language sources: Internet pages, official documents such as laws and regulations, books and newspapers, and social web. Readers are introduced to the problem of IE and its current challenges and limitations, supported with examples. The book discusses the need to fill the gap between documents, data, and people, and provides a broad overview of the technology supporting IE. The authors present a generic architecture for developing systems that are able to learn how to extract relevant information from natural language documents, and illustrate how to implement working systems using state-of-the-art and freely available software tools. The book also discusses concrete applications illustrating IE uses. · Provides an overview of state-of-the-art technology in information extraction (IE), discussing achievements and limitations for the software developer and providing references for specialized literature in the area · Presents a comprehensive list of freely available, high quality software for several subtasks of IE and for several natural languages · Describes a generic architecture that can learn how to extract information for a given application domain
Author: Sunita Sarawagi
Publisher: Now Publishers Inc
ISBN: 1601981880
Category : Computers
Languages : en
Pages : 131
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Book Description
Surveys over two decades of information extraction research from various communities such as computational linguistics, machine learning, databases and information retrieval.
Author: Teresa Jade
Publisher: SAS Institute
ISBN: 1635266610
Category : Computers
Languages : en
Pages : 260
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Book Description
Extract actionable insights from text and unstructured data. Information extraction is the task of automatically extracting structured information from unstructured or semi-structured text. SAS Text Analytics for Business Applications: Concept Rules for Information Extraction Models focuses on this key element of natural language processing (NLP) and provides real-world guidance on the effective application of text analytics. Using scenarios and data based on business cases across many different domains and industries, the book includes many helpful tips and best practices from SAS text analytics experts to ensure fast, valuable insight from your textual data. Written for a broad audience of beginning, intermediate, and advanced users of SAS text analytics products, including SAS Visual Text Analytics, SAS Contextual Analysis, and SAS Enterprise Content Categorization, this book provides a solid technical reference. You will learn the SAS information extraction toolkit, broaden your knowledge of rule-based methods, and answer new business questions. As your practical experience grows, this book will serve as a reference to deepen your expertise.
Author: Andreas Holzinger
Publisher: Springer
ISBN: 3319697757
Category : Computers
Languages : en
Pages : 220
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Book Description
The BIRS Workshop “Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets” (15w2181), held in July 2015 in Banff, Canada, was dedicated to stimulating a cross-domain integrative machine-learning approach and appraisal of “hot topics” toward tackling the grand challenge of reaching a level of useful and useable computational intelligence with a focus on real-world problems, such as in the health domain. This encompasses learning from prior data, extracting and discovering knowledge, generalizing the results, fighting the curse of dimensionality, and ultimately disentangling the underlying explanatory factors in complex data, i.e., to make sense of data within the context of the application domain. The workshop aimed to contribute advancements in promising novel areas such as at the intersection of machine learning and topological data analysis. History has shown that most often the overlapping areas at intersections of seemingly disparate fields are key for the stimulation of new insights and further advances. This is particularly true for the extremely broad field of machine learning.
Author: Fouad Sabry
Publisher: One Billion Knowledgeable
ISBN:
Category : Computers
Languages : en
Pages : 149
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Book Description
What Is Information Extraction The process of automatically extracting structured information from unstructured and/or semi-structured machine-readable documents and other electronically represented sources is referred to as information extraction (IE). This activity, in the vast majority of instances, refers to the processing of documents written in human languages by utilizing natural language processing (NLP). The process of extracting information can be seen in recent activity in multimedia document processing such as automatic annotation and content extraction out of photos, audio, and video documents. How You Will Benefit (I) Insights, and validations about the following topics: Chapter 1: Information extraction Chapter 2: Natural language processing Chapter 3: Text mining Chapter 4: Named-entity recognition Chapter 5: Unstructured data Chapter 6: Relationship extraction Chapter 7: Data extraction Chapter 8: Knowledge extraction Chapter 9: Entity linking Chapter 10: Outline of natural language processing (II) Answering the public top questions about information extraction. (III) Real world examples for the usage of information extraction in many fields. (IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of information extraction' technologies. Who This Book Is For Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of information extraction.
Author: Kit Yee Pang
Publisher:
ISBN:
Category :
Languages : en
Pages :
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Book Description
Author: François Osiurak
Publisher: John Wiley & Sons
ISBN: 111972032X
Category : Psychology
Languages : en
Pages : 232
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Book Description
Humans use countless tools and are constantly creating new ones. We are so prone to materiality that the changes we implement in our environment could put our very survival at stake. It has therefore become necessary to question the cognitive origins of this materiality. The Tool Instinct examines this subject by diametrically setting aside the idea that tool use is limited to manual activity. It proposes an original perspective that surpasses a great number of false beliefs regarding the relationship between humans and tools. The author argues that the human tendency to create and use tools relies on our ability (one that may be unique to our species) to generate our own physical problems, thereby resulting in a reasoning that is directed towards our physical world.
Author: Claire Martinot
Publisher: John Wiley & Sons
ISBN: 111959720X
Category : Language Arts & Disciplines
Languages : en
Pages : 204
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Book Description
Reformulation and Acquisition of Linguistic Complexity proposes a new answer to the question of the appropriation or acquisition of a mother tongue – a complex object, one that is both stable and perpetually evolving. This answer is based on the reformulating principle that children spontaneously apply; a principle that is illustrated here with children retelling the same story. These children are all 6, 8 or 10 years old and speak French, Italian, Croatian or Polish as a first language. This book demonstrates that the acquisition of any mother tongue is explained by the application of various reformulation procedures between source predications and reformulated predications. These procedures are comparable from one language to another, and different from one age group to another. This book also studies certain complex phenomena at the lexical and syntactical levels, and analyzes how children, depending on their age, treat these phenomena. Finally, we show that the acquisition of a mother tongue is a fundamentally linguistic activity.
