Data Analytics In Cognitive Linguistics
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Data Analytics In Cognitive Linguistics
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Author : Dennis Tay
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2022-05-09
Data Analytics In Cognitive Linguistics written by Dennis Tay and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-09 with Language Arts & Disciplines categories.
Contemporary data analytics involves extracting insights from data and translating them into action. With its turn towards empirical methods and convergent data sources, cognitive linguistics is a fertile context for data analytics. There are key differences between data analytics and statistical analysis as typically conceived. Though the former requires the latter, it emphasizes the role of domain-specific knowledge. Statistical analysis also tends to be associated with preconceived hypotheses and controlled data. Data analytics, on the other hand, can help explore unstructured datasets and inspire emergent questions. This volume addresses two key aspects in data analytics for cognitive linguistic work. Firstly, it elaborates the bottom-up guiding role of data analytics in the research trajectory, and how it helps to formulate and refine questions. Secondly, it shows how data analytics can suggest concrete courses of research-based action, which is crucial for cognitive linguistics to be truly applied. The papers in this volume impart various data analytic methods and report empirical studies across different areas of research and application. They aim to benefit new and experienced researchers alike.
Cognitive Science Computational Intelligence And Data Analytics
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Author : Vikas Khare
language : en
Publisher: Elsevier
Release Date : 2024-06-06
Cognitive Science Computational Intelligence And Data Analytics written by Vikas Khare and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-06 with Computers categories.
Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book's focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems.The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader's needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented. - Demystifies the theory of data analytics using a step-by-step approach - Covers the intersection of cognitive science, computational intelligence, and data analytics by providing examples and case studies with applied algorithms, mathematics, and Python programming code - Introduces foundational data analytics techniques such as CRISP-DM, SEMMA, and Object Detection Models in the context of computational intelligence methods and tools - Covers key concepts of multivariate and cognitive data analytics such as factor analytics, principal component analytics, linear regression analysis, logistic regression analysis, and value chain applications
Cognitive Informatics Computer Modelling And Cognitive Science
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Author : G. R. Sinha
language : en
Publisher: Academic Press
Release Date : 2020-04-08
Cognitive Informatics Computer Modelling And Cognitive Science written by G. R. Sinha and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-08 with Technology & Engineering categories.
Cognitive Informatics, Computer Modelling, and Cognitive Science: Volume Two, Application to Neural Engineering, Robotics, and STEM presents the practical, real-world applications of Cognitive Science to help readers understand how it can help them in their research, engineering and academic pursuits. The book is presented in two volumes, covering Introduction and Theoretical Background, Philosophical and Psychological Theory, and Cognitive Informatics and Computing. Volume Two includes Statistics for Cognitive Science, Cognitive Applications and STEM Case Studies. Other sections cover Cognitive Informatics, Computer Modeling and Cognitive Science: Application to Neural Engineering, Robotics, and STEM. The book's authors discuss the current status of research in the field of Cognitive Science, including cognitive language processing that paves the ways for developing numerous tools for helping physically challenged persons, and more. - Identifies how foundational theories and concepts in cognitive science are applicable in other fields - Includes a comprehensive review of cognitive science applications in multiple domains, applying it to neural engineering, robotics, computer science and STEM - Presents basic statistics and cognitive maps, testing strategies of hypothesis, maximum likelihood estimator, Bayesian statistics, and discrete probability models of neural computation - Contains in-depth technical coverage of cognitive applications and case studies, including neuro-computing, brain modeling, cognitive ability and cognitive robots
Theory And Data In Cognitive Linguistics
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Author : Nikolas Gisborne
language : en
Publisher: John Benjamins Publishing Company
Release Date : 2014-09-24
Theory And Data In Cognitive Linguistics written by Nikolas Gisborne and has been published by John Benjamins Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-24 with Language Arts & Disciplines categories.
Cognitive linguistics has an honourable tradition of paying respect to naturally occurring language data and there have been fruitful interactions between corpus data and aspects of linguistic structure and meaning. More recently, dialect data and sociolinguistic data collection methods/theoretical concepts have started to generate interest. There has also been an increase in several kinds of experimental work. However, not all linguistic data is simply naturally occurring or derived from experiments with statistically robust samples of speakers. Other traditions, especially the generative tradition, have fruitfully used introspection and questions about the grammaticality of different strings to uncover patterns which might otherwise have gone unnoticed. The divide between generative and cognitive approaches to language is intimately connected to the kinds of data drawn on, and the way in which generalisations are derived from these data. The papers in this volume explore these issues through the lens of synchronic linguistic analysis, the study of language change, typological investigation and experimental study. Originally published in Studies in Language Vol. 36:3 (2012).
Data Analytics For Intelligent Transportation Systems
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Author : Mashrur Chowdhury
language : en
Publisher: Elsevier
Release Date : 2024-11-02
Data Analytics For Intelligent Transportation Systems written by Mashrur Chowdhury and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-02 with Computers categories.
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics
Data Science And Ai Simplified
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Author : Ekaaksh Deshpande
language : en
Publisher: Educohack Press
Release Date : 2025-01-03
Data Science And Ai Simplified written by Ekaaksh Deshpande and has been published by Educohack Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-03 with Computers categories.
The illustrations in this book are created by “Team Educohack”. Data Science and AI Simplified provides comprehensive knowledge on the theories, techniques, and applications in Analytics, Data Science, and Artificial Intelligence (AI). We cover the entire analytics process, from data collection and processing to analysis and interpretation, helping you derive valuable insights that can significantly impact businesses. We explain data science, focusing on how to transform raw data into valuable information for strategic business development. By analyzing large amounts of structured and unstructured data, organizations can identify patterns, reduce costs, and increase performance and efficiency. Our book also explores AI, demonstrating how machines learn from experience, adapt to new inputs, and perform human-like tasks. From chess-playing computers to self-driving cars, we delve into AI applications that rely on deep learning and natural language processing. Whether you're a beginner or looking to expand your expertise, Data Science and AI Simplified offers clear, easy-to-understand explanations and practical examples, ensuring a thorough grasp of these essential fields.
Empirical Approaches To Cognitive Linguistics
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Author : Milla Luodonpää-Manni
language : en
Publisher: Cambridge Scholars Publishing
Release Date : 2017-05-11
Empirical Approaches To Cognitive Linguistics written by Milla Luodonpää-Manni and has been published by Cambridge Scholars Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-11 with Language Arts & Disciplines categories.
This collection takes a cognitive linguistic view on analyzing language and presents innovative contemporary Finnish research to the international audience. The volume brings together nine chapters presenting empirical case studies that rely on various kinds of corpus data and experimental data or combine both types of empirical evidence. The topics vary from semantics to grammatical description, from terminological choices to language acquisition, and they study language from perspectives as diverse as psycholinguistics, comparative linguistics, and translation studies. A multi-methodological approach to linguistic research is promoted in this book. The idea is that language in all its diversity can best be studied by using the entire spectrum of modern quantitative and qualitative methods. It will appeal to academic readers, students, and established researchers, interested in the study of authentic linguistic material especially from the cognitive perspective.
Computational Science And Engineering
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Author : Rayner Alfred
language : en
Publisher: Trans Tech Publications Ltd
Release Date : 2019-06-10
Computational Science And Engineering written by Rayner Alfred and has been published by Trans Tech Publications Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-10 with Technology & Engineering categories.
3rd International Conference on Computational Science and Engineering (ICCSE 2018) Selected, peer reviewed papers from the Third International Conference on Computational Science and Engineering (ICCSE2018), August 29-30, 2018, Kota Kinabalu, Sabah, Malaysia
Big Data In Cognitive Science
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Author : Michael N. Jones
language : en
Publisher: Psychology Press
Release Date : 2016-11-03
Big Data In Cognitive Science written by Michael N. Jones and has been published by Psychology Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-03 with Computers categories.
The primary goal of this volume is to present cutting-edge examples of mining large and naturalistic datasets to discover important principles of cognition and to evaluate theories in a way that would not be possible without such scale. It explores techniques that have been underexploited by cognitive psychologists and explains how big data from numerous sources can inform researchers with different research interests and shed further light on how brain, cognition and behavior are interconnected. The book fills a major gap in the literature and has the potential to rapidly advance knowledge throughout the field. It is essential reading for any cognitive psychology researcher.
Learning Science Theory Research And Practice
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Author : Robert S. Feldman
language : en
Publisher: McGraw Hill Professional
Release Date : 2019-08-09
Learning Science Theory Research And Practice written by Robert S. Feldman and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-08-09 with Education categories.
Cutting-edge insights and perspectives from today’s leading minds in the field of learning science The discipline of learning science is fast becoming a primary approach for answering one of the most important questions of our time: How do we most effectively educate students to reach their full potential? Spanning the disciplines of psychology, data science, cognitive science, sociology, and anthropology, Learning Science offers solutions to our most urgent educational challenges. Composed of insightful essays from top figures in their respective fields, the book also shows how a thorough understanding of this critical discipline all but ensures better decision making when it comes to education. Chapters include: • Exploring Student Interactions in Collaborative Problem-Solving with a Multimodal Approach • Learning Science Research Through a Social Science Lens • Semantic Representation & Analysis and its Application in Conversation-based Intelligent Tutoring Systems • Advancing the Relationship Between Learning Sciences and Teaching Practice • Advancing the State of Online Learning: Stay Integrated, Stay Accessible, Stay Curious • Designing Immersive Authentic Simulations that Enhance Motivation and Learning • High School OER STEM Lessons Leading to Deep Learning, For Students and Teachers • How to Increase Learning While Not Decreasing the Fun in Educational Games Whether you’re creating curricula, developing policies, or educating students in a classroom setting, Learning Science delivers the knowledge, insight, and inspiration you need to do your part to ensure every student meets his or her full potential.