Modern Computational Models of Semantic Discovery in Natural Language

Modern Computational Models of Semantic Discovery in Natural Language
Author: Žižka, Jan
Publisher: IGI Global
Total Pages: 353
Release: 2015-07-17
Genre: Computers
ISBN: 146668691X
GET BOOK

Download Modern Computational Models of Semantic Discovery in Natural Language Book in PDF, Epub and Kindle

Language—that is, oral or written content that references abstract concepts in subtle ways—is what sets us apart as a species, and in an age defined by such content, language has become both the fuel and the currency of our modern information society. This has posed a vexing new challenge for linguists and engineers working in the field of language-processing: how do we parse and process not just language itself, but language in vast, overwhelming quantities? Modern Computational Models of Semantic Discovery in Natural Language compiles and reviews the most prominent linguistic theories into a single source that serves as an essential reference for future solutions to one of the most important challenges of our age. This comprehensive publication benefits an audience of students and professionals, researchers, and practitioners of linguistics and language discovery. This book includes a comprehensive range of topics and chapters covering digital media, social interaction in online environments, text and data mining, language processing and translation, and contextual documentation, among others.

Computational Cognitive Modeling and Linguistic Theory

Computational Cognitive Modeling and Linguistic Theory
Author: Adrian Brasoveanu
Publisher: Springer Nature
Total Pages: 299
Release: 2020-01-01
Genre: Language and languages
ISBN: 303031846X
GET BOOK

Download Computational Cognitive Modeling and Linguistic Theory Book in PDF, Epub and Kindle

This open access book introduces a general framework that allows natural language researchers to enhance existing competence theories with fully specified performance and processing components. Gradually developing increasingly complex and cognitively realistic competence-performance models, it provides running code for these models and shows how to fit them to real-time experimental data. This computational cognitive modeling approach opens up exciting new directions for research in formal semantics, and linguistics more generally, and offers new ways of (re)connecting semantics and the broader field of cognitive science. The approach of this book is novel in more ways than one. Assuming the mental architecture and procedural modalities of Anderson's ACT-R framework, it presents fine-grained computational models of human language processing tasks which make detailed quantitative predictions that can be checked against the results of self-paced reading and other psycho-linguistic experiments. All models are presented as computer programs that readers can run on their own computer and on inputs of their choice, thereby learning to design, program and run their own models. But even for readers who won't do all that, the book will show how such detailed, quantitatively predicting modeling of linguistic processes is possible. A methodological breakthrough and a must for anyone concerned about the future of linguistics! (Hans Kamp) This book constitutes a major step forward in linguistics and psycholinguistics. It constitutes a unique synthesis of several different research traditions: computational models of psycholinguistic processes, and formal models of semantics and discourse processing. The work also introduces a sophisticated python-based software environment for modeling linguistic processes. This book has the potential to revolutionize not only formal models of linguistics, but also models of language processing more generally. (Shravan Vasishth) .

Web Data Mining and the Development of Knowledge-Based Decision Support Systems

Web Data Mining and the Development of Knowledge-Based Decision Support Systems
Author: Sreedhar, G.
Publisher: IGI Global
Total Pages: 427
Release: 2016-12-21
Genre: Computers
ISBN: 1522518789
GET BOOK

Download Web Data Mining and the Development of Knowledge-Based Decision Support Systems Book in PDF, Epub and Kindle

Websites are a central part of today’s business world; however, with the vast amount of information that constantly changes and the frequency of required updates, this can come at a high cost to modern businesses. Web Data Mining and the Development of Knowledge-Based Decision Support Systems is a key reference source on decision support systems in view of end user accessibility and identifies methods for extraction and analysis of useful information from web documents. Featuring extensive coverage across a range of relevant perspectives and topics, such as semantic web, machine learning, and expert systems, this book is ideally designed for web developers, internet users, online application developers, researchers, and faculty.

Techno-Social Systems for Modern Economical and Governmental Infrastructures

Techno-Social Systems for Modern Economical and Governmental Infrastructures
Author: Troussov, Alexander
Publisher: IGI Global
Total Pages: 380
Release: 2018-07-13
Genre: Political Science
ISBN: 1522555870
GET BOOK

Download Techno-Social Systems for Modern Economical and Governmental Infrastructures Book in PDF, Epub and Kindle

Applications have transformed the collaboration environment from a mere document collection into a highly interconnected social space. These systems interoperate within a social and organizational context that drives their everyday use and provides a rich context for understanding the role of nodes that represent both people and abstract concepts. Techno-Social Systems for Modern Economical and Governmental Infrastructures provides emerging research exploring the theoretical and practical aspects of mining technological and social systems for the creation of scalable methods, systems, and applications within economic and government disciplines. Featuring coverage on a broad range of topics such as analysis models, data navigation, and empirical sociology, this book is ideally designed for professionals, researchers, executives, managers, and developers seeking current research on the interconnecting roles of technology and social space.

Artificial Intelligence: Concepts, Methodologies, Tools, and Applications

Artificial Intelligence: Concepts, Methodologies, Tools, and Applications
Author: Management Association, Information Resources
Publisher: IGI Global
Total Pages: 3095
Release: 2016-12-12
Genre: Computers
ISBN: 152251760X
GET BOOK

Download Artificial Intelligence: Concepts, Methodologies, Tools, and Applications Book in PDF, Epub and Kindle

Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.

Language, Cognition, and Computational Models

Language, Cognition, and Computational Models
Author: Thierry Poibeau
Publisher: Cambridge University Press
Total Pages: 348
Release: 2018-01-25
Genre: Computers
ISBN: 110851572X
GET BOOK

Download Language, Cognition, and Computational Models Book in PDF, Epub and Kindle

How do infants learn a language? Why and how do languages evolve? How do we understand a sentence? This book explores these questions using recent computational models that shed new light on issues related to language and cognition. The chapters in this collection propose original analyses of specific problems and develop computational models that have been tested and evaluated on real data. Featuring contributions from a diverse group of experts, this interdisciplinary book bridges the gap between natural language processing and cognitive sciences. It is divided into three sections, focusing respectively on models of neural and cognitive processing, data driven methods, and social issues in language evolution. This book will be useful to any researcher and advanced student interested in the analysis of the links between the brain and the language faculty.

Text Mining with Machine Learning

Text Mining with Machine Learning
Author: Jan Žižka
Publisher: CRC Press
Total Pages: 327
Release: 2019-10-31
Genre: Computers
ISBN: 0429890265
GET BOOK

Download Text Mining with Machine Learning Book in PDF, Epub and Kindle

This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts. By analysing various data sets, conclusions which are not normally evident, emerge and can be used for various purposes and applications. The book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step demonstrations of how to reveal the semantic contents in real-world datasets using the popular R-language with its implemented machine learning algorithms. The book is not only aimed at IT specialists, but is meant for a wider audience that needs to process big sets of text documents and has basic knowledge of the subject, e.g. e-mail service providers, online shoppers, librarians, etc. The book starts with an introduction to text-based natural language data processing and its goals and problems. It focuses on machine learning, presenting various algorithms with their use and possibilities, and reviews the positives and negatives. Beginning with the initial data pre-processing, a reader can follow the steps provided in the R-language including the subsuming of various available plug-ins into the resulting software tool. A big advantage is that R also contains many libraries implementing machine learning algorithms, so a reader can concentrate on the principal target without the need to implement the details of the algorithms her- or himself. To make sense of the results, the book also provides explanations of the algorithms, which supports the final evaluation and interpretation of the results. The examples are demonstrated using realworld data from commonly accessible Internet sources.

Intelligent Analysis of Multimedia Information

Intelligent Analysis of Multimedia Information
Author: Bhattacharyya, Siddhartha
Publisher: IGI Global
Total Pages: 543
Release: 2016-07-13
Genre: Computers
ISBN: 1522504990
GET BOOK

Download Intelligent Analysis of Multimedia Information Book in PDF, Epub and Kindle

Multimedia represents information in novel and varied formats. One of the most prevalent examples of continuous media is video. Extracting underlying data from these videos can be an arduous task. From video indexing, surveillance, and mining, complex computational applications are required to process this data. Intelligent Analysis of Multimedia Information is a pivotal reference source for the latest scholarly research on the implementation of innovative techniques to a broad spectrum of multimedia applications by presenting emerging methods in continuous media processing and manipulation. This book offers a fresh perspective for students and researchers of information technology, media professionals, and programmers.

Graph Theoretic Approaches for Analyzing Large-Scale Social Networks

Graph Theoretic Approaches for Analyzing Large-Scale Social Networks
Author: Meghanathan, Natarajan
Publisher: IGI Global
Total Pages: 376
Release: 2017-07-13
Genre: Computers
ISBN: 1522528156
GET BOOK

Download Graph Theoretic Approaches for Analyzing Large-Scale Social Networks Book in PDF, Epub and Kindle

Social network analysis has created novel opportunities within the field of data science. The complexity of these networks requires new techniques to optimize the extraction of useful information. Graph Theoretic Approaches for Analyzing Large-Scale Social Networks is a pivotal reference source for the latest academic research on emerging algorithms and methods for the analysis of social networks. Highlighting a range of pertinent topics such as influence maximization, probabilistic exploration, and distributed memory, this book is ideally designed for academics, graduate students, professionals, and practitioners actively involved in the field of data science.

Encyclopedia of Information Science and Technology, Fifth Edition

Encyclopedia of Information Science and Technology, Fifth Edition
Author: Khosrow-Pour D.B.A., Mehdi
Publisher: IGI Global
Total Pages: 1966
Release: 2020-07-24
Genre: Computers
ISBN: 1799834808
GET BOOK

Download Encyclopedia of Information Science and Technology, Fifth Edition Book in PDF, Epub and Kindle

The rise of intelligence and computation within technology has created an eruption of potential applications in numerous professional industries. Techniques such as data analysis, cloud computing, machine learning, and others have altered the traditional processes of various disciplines including healthcare, economics, transportation, and politics. Information technology in today’s world is beginning to uncover opportunities for experts in these fields that they are not yet aware of. The exposure of specific instances in which these devices are being implemented will assist other specialists in how to successfully utilize these transformative tools with the appropriate amount of discretion, safety, and awareness. Considering the level of diverse uses and practices throughout the globe, the fifth edition of the Encyclopedia of Information Science and Technology series continues the enduring legacy set forth by its predecessors as a premier reference that contributes the most cutting-edge concepts and methodologies to the research community. The Encyclopedia of Information Science and Technology, Fifth Edition is a three-volume set that includes 136 original and previously unpublished research chapters that present multidisciplinary research and expert insights into new methods and processes for understanding modern technological tools and their applications as well as emerging theories and ethical controversies surrounding the field of information science. Highlighting a wide range of topics such as natural language processing, decision support systems, and electronic government, this book offers strategies for implementing smart devices and analytics into various professional disciplines. The techniques discussed in this publication are ideal for IT professionals, developers, computer scientists, practitioners, managers, policymakers, engineers, data analysts, and programmers seeking to understand the latest developments within this field and who are looking to apply new tools and policies in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to software engineering, cybersecurity, information technology, media and communications, urban planning, computer science, healthcare, economics, environmental science, data management, and political science will benefit from the extensive knowledge compiled within this publication.