Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications

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Author :
Publisher : Elsevier
ISBN 13 : 0444640436
Total Pages : 537 pages
Book Rating : 4.4/5 (446 download)

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Book Synopsis Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications by :

Download or read book Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications written by and published by Elsevier. This book was released on 2018-08-27 with total page 537 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Analysis and Understanding of Natural Languages: Principles, Methods and Applications, Volume 38, the latest release in this monograph that provides a cohesive and integrated exposition of these advances and associated applications, includes new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, Inference and Prediction Methods, Random Processes, Bayesian Methods, Machine Learning, Artificial Neural Networks for Natural Language Processing, Information Retrieval, Language Core Tasks, Language Understanding Applications, and more. The synergistic confluence of linguistics, statistics, big data, and high-performance computing is the underlying force for the recent and dramatic advances in analyzing and understanding natural languages, hence making this series all the more important. Provides a thorough treatment of open-source libraries, application frameworks and workflow systems for natural language analysis and understanding Presents new chapters on Linguistics: Core Concepts and Principles, Grammars, Open-Source Libraries, Application Frameworks, Workflow Systems, Mathematical Essentials, Probability, and more

The Handbook of Computational Linguistics and Natural Language Processing

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Publisher : John Wiley & Sons
ISBN 13 : 1118448677
Total Pages : 802 pages
Book Rating : 4.1/5 (184 download)

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Book Synopsis The Handbook of Computational Linguistics and Natural Language Processing by : Alexander Clark

Download or read book The Handbook of Computational Linguistics and Natural Language Processing written by Alexander Clark and published by John Wiley & Sons. This book was released on 2013-04-24 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive reference work provides an overview of the concepts, methodologies, and applications in computational linguistics and natural language processing (NLP). Features contributions by the top researchers in the field, reflecting the work that is driving the discipline forward Includes an introduction to the major theoretical issues in these fields, as well as the central engineering applications that the work has produced Presents the major developments in an accessible way, explaining the close connection between scientific understanding of the computational properties of natural language and the creation of effective language technologies Serves as an invaluable state-of-the-art reference source for computational linguists and software engineers developing NLP applications in industrial research and development labs of software companies

Big Data Management and Analytics

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Publisher : Springer Nature
ISBN 13 : 3030616274
Total Pages : 121 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Big Data Management and Analytics by : Ralf-Detlef Kutsche

Download or read book Big Data Management and Analytics written by Ralf-Detlef Kutsche and published by Springer Nature. This book was released on 2020-11-01 with total page 121 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes 5 revised tutorial lectures of the 9th European Business Intelligence and Big Data Summer School, eBISS 2019, held in Berlin, Germany, during June 30 – July 5, 2019. The tutorials were given by renowned experts and covered advanced aspects of business intelligence and big data. This summer school, presented by leading researchers in the field, represented an opportunity for postgraduate students to equip themselves with the theoretical and practical skills necessary for developing challenging business intelligence applications.

Natural Language Processing and Information Retrieval

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Publisher : CRC Press
ISBN 13 : 1003800483
Total Pages : 271 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Natural Language Processing and Information Retrieval by : Muskan Garg

Download or read book Natural Language Processing and Information Retrieval written by Muskan Garg and published by CRC Press. This book was released on 2023-11-28 with total page 271 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the basics and recent advancements in natural language processing and information retrieval in a single volume. It will serve as an ideal reference text for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology. This text emphasizes the existing problem domains and possible new directions in natural language processing and information retrieval. It discusses the importance of information retrieval with the integration of machine learning, deep learning, and word embedding. This approach supports the quick evaluation of real-time data. It covers important topics including rumor detection techniques, sentiment analysis using graph-based techniques, social media data analysis, and language-independent text mining. Features: • Covers aspects of information retrieval in different areas including healthcare, data analysis, and machine translation • Discusses recent advancements in language- and domain-independent information extraction from textual and/or multimodal data • Explains models including decision making, random walk, knowledge graphs, word embedding, n-grams, and frequent pattern mining • Provides integrated approaches of machine learning, deep learning, and word embedding for natural language processing • Covers latest datasets for natural language processing and information retrieval for social media like Twitter The text is primarily written for graduate students and academic researchers in interdisciplinary areas of electrical engineering, electronics engineering, computer engineering, and information technology.

Inventive Communication and Computational Technologies

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Publisher : Springer Nature
ISBN 13 : 9819951666
Total Pages : 1128 pages
Book Rating : 4.8/5 (199 download)

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Book Synopsis Inventive Communication and Computational Technologies by : G. Ranganathan

Download or read book Inventive Communication and Computational Technologies written by G. Ranganathan and published by Springer Nature. This book was released on 2023-10-03 with total page 1128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected papers presented at the 7th International Conference on Inventive Communication and Computational Technologies conference (ICICCT 2023), held on May 22–23, 2023, at Gnanamani College of Technology, Tamil Nadu, India. The book covers the topics such as Internet of things, social networks, mobile communications, big data analytics, bio-inspired computing and cloud computing. The book is exclusively intended for academics and practitioners working to resolve practical issues in this area.

Computational Science and Its Applications – ICCSA 2021

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Publisher : Springer Nature
ISBN 13 : 3030869709
Total Pages : 749 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Computational Science and Its Applications – ICCSA 2021 by : Osvaldo Gervasi

Download or read book Computational Science and Its Applications – ICCSA 2021 written by Osvaldo Gervasi and published by Springer Nature. This book was released on 2021-09-10 with total page 749 pages. Available in PDF, EPUB and Kindle. Book excerpt: ​The ten-volume set LNCS 12949 – 12958 constitutes the proceedings of the 21st International Conference on Computational Science and Its Applications, ICCSA 2021, which was held in Cagliari, Italy, during September 13 – 16, 2021. The event was organized in a hybrid mode due to the Covid-19 pandemic.The 466 full and 18 short papers presented in these proceedings were carefully reviewed and selected from 1588 submissions. The books cover such topics as multicore architectures, mobile and wireless security, sensor networks, open source software, collaborative and social computing systems and tools, cryptography, human computer interaction, software design engineering, and others. Part III of the set icludes papers on Information Systems and Technologies and the proceeding of the following workshops: International Workshop on Automatic landform classification: spatial methods and applications (ALCSMA 2021); International Workshop on Application of Numerical Analysis to Imaging Science (ANAIS 2021); International Workshop on Advances in information Systems and Technologies for Emergency management, risk assessment and mitigationbased on the Resilience concepts (ASTER 2021); International Workshop on Advances in Web Based Learning (AWBL 2021).

Handbook of Natural Language Processing

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Publisher : CRC Press
ISBN 13 : 142008593X
Total Pages : 704 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Handbook of Natural Language Processing by : Nitin Indurkhya

Download or read book Handbook of Natural Language Processing written by Nitin Indurkhya and published by CRC Press. This book was released on 2010-02-22 with total page 704 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis.New to the Second EditionGreater

Advanced AI and Internet of Health Things for Combating Pandemics

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Publisher : Springer Nature
ISBN 13 : 3031286316
Total Pages : 397 pages
Book Rating : 4.0/5 (312 download)

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Book Synopsis Advanced AI and Internet of Health Things for Combating Pandemics by : Mohamed Lahby

Download or read book Advanced AI and Internet of Health Things for Combating Pandemics written by Mohamed Lahby and published by Springer Nature. This book was released on 2023-07-24 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research, theoretical methods, and novel applications in the field of Health 5.0. The authors focus on combating COVID-19 or other pandemics through facilitating various technological services. The authors discuss new models, practical solutions, and technological advances related to detecting and analyzing COVID-19 or other pandemic based on machine intelligence models and communication technologies. The aim of the coverage is to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence and Internet of Medical Things (IoMT). This book emphasizes the need to analyze all the information through studies and research carried out in the field of computational intelligence, communication networks, and presents the best solutions to combat COVID and other pandemics.

Advances in Knowledge Discovery and Data Mining

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Publisher : Springer Nature
ISBN 13 : 3031059816
Total Pages : 396 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Advances in Knowledge Discovery and Data Mining by : João Gama

Download or read book Advances in Knowledge Discovery and Data Mining written by João Gama and published by Springer Nature. This book was released on 2022-05-09 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 3-volume set LNAI 13280, LNAI 13281 and LNAI 13282 constitutes the proceedings of the 26th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2022, which was held during May 2022 in Chengdu, China. The 121 papers included in the proceedings were carefully reviewed and selected from a total of 558 submissions. They were organized in topical sections as follows: Part I: Data Science and Big Data Technologies, Part II: Foundations; and Part III: Applications.

Mathematical and Computational Analysis of Natural Language

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Publisher : John Benjamins Publishing
ISBN 13 : 9027282277
Total Pages : 411 pages
Book Rating : 4.0/5 (272 download)

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Book Synopsis Mathematical and Computational Analysis of Natural Language by : Carlos Martín-Vide

Download or read book Mathematical and Computational Analysis of Natural Language written by Carlos Martín-Vide and published by John Benjamins Publishing. This book was released on 1998-10-15 with total page 411 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the last decade, computational linguistics has produced a revival of the interest in the mathematical study of the various levels of human language. This volume contains a selection of recent research papers approaching mathematical and computational topics in natural languages, with a special attention being paid to syntax and semantics. According with their main focus, the papers are distributed into four parts: Syntax, Semantics, Natural language processing and Varia, which cover a vast range of problems. The book may be of interest to all those who intend to know which kind of mathematics is used when giving account of natural language, as well as to people working on computational issues involving human-machine interaction.

Semantic Control for the Cybersecurity Domain

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Publisher : CRC Press
ISBN 13 : 1000685918
Total Pages : 177 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Semantic Control for the Cybersecurity Domain by : Claudia Lanza

Download or read book Semantic Control for the Cybersecurity Domain written by Claudia Lanza and published by CRC Press. This book was released on 2022-10-24 with total page 177 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the creation of a bilingual thesaurus (Italian and English), and its conversion into an ontology system, oriented to the Cybersecurity field of knowledge term management and the identification of a replicable method over other specialized areas of study, through computational linguistics procedures, to a statistical and qualitative measurement of the terminological coverage threshold a controlled vocabulary is able to guarantee with respect to the semantic richness proper to the domain under investigation. The volume empowers readers to compile and study significant corpora documentations to support the text mining tasks and to establish a representativeness evaluation of the information retrieved. Through a description of several techniques belonging to the field of linguistics and knowledge engineering, this monograph provides a methodological account on how to enhance and update semantic monitoring tools reflecting a specialized lexicon as that of Cybersecurity to grant a reference semantic structure for domain-sector text classification tasks. This volume is a valuable reference to scholars of corpus-based studies, terminology, ICT, documentation and librarianship studies, text processing research, and distributional semantics area of interest as well as for professionals involved in Cybersecurity organizations.

Machine Learning Techniques and Industry Applications

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Publisher : IGI Global
ISBN 13 :
Total Pages : 327 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis Machine Learning Techniques and Industry Applications by : Srivastava, Pramod Kumar

Download or read book Machine Learning Techniques and Industry Applications written by Srivastava, Pramod Kumar and published by IGI Global. This book was released on 2024-04-16 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: In today's rapidly evolving world, the exponential growth of data poses a significant challenge. As data volumes increase, traditional methods of analysis and decision-making become inadequate. This surge in data complexity calls for innovative solutions that efficiently extract meaningful insights. Machine learning has emerged as a powerful tool to address this challenge, offering algorithms and techniques to analyze large datasets and uncover hidden patterns, trends, and correlations. Machine Learning Techniques and Industry Applications demystifies machine learning through detailed explanations, examples, and case studies, making it accessible to a broad audience. Whether you're a student, researcher, or practitioner, this book equips you with the knowledge and skills needed to harness the power of machine learning to address diverse challenges. From e-government to healthcare, cyber-physical systems to agriculture, this book explores how machine learning can drive innovation and sustainable development.

Digital Technologies and Applications

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Publisher : Springer Nature
ISBN 13 : 3031686608
Total Pages : 593 pages
Book Rating : 4.0/5 (316 download)

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Book Synopsis Digital Technologies and Applications by : Saad Motahhir

Download or read book Digital Technologies and Applications written by Saad Motahhir and published by Springer Nature. This book was released on with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Innovations in Smart Cities Applications Volume 7

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Publisher : Springer Nature
ISBN 13 : 3031543769
Total Pages : 443 pages
Book Rating : 4.0/5 (315 download)

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Book Synopsis Innovations in Smart Cities Applications Volume 7 by : Mohamed Ben Ahmed

Download or read book Innovations in Smart Cities Applications Volume 7 written by Mohamed Ben Ahmed and published by Springer Nature. This book was released on with total page 443 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistics and Machine Learning Methods for EHR Data

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Publisher : CRC Press
ISBN 13 : 1000260941
Total Pages : 329 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Statistics and Machine Learning Methods for EHR Data by : Hulin Wu

Download or read book Statistics and Machine Learning Methods for EHR Data written by Hulin Wu and published by CRC Press. This book was released on 2020-12-09 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of Electronic Health Records (EHR)/Electronic Medical Records (EMR) data is becoming more prevalent for research. However, analysis of this type of data has many unique complications due to how they are collected, processed and types of questions that can be answered. This book covers many important topics related to using EHR/EMR data for research including data extraction, cleaning, processing, analysis, inference, and predictions based on many years of practical experience of the authors. The book carefully evaluates and compares the standard statistical models and approaches with those of machine learning and deep learning methods and reports the unbiased comparison results for these methods in predicting clinical outcomes based on the EHR data. Key Features: Written based on hands-on experience of contributors from multidisciplinary EHR research projects, which include methods and approaches from statistics, computing, informatics, data science and clinical/epidemiological domains. Documents the detailed experience on EHR data extraction, cleaning and preparation Provides a broad view of statistical approaches and machine learning prediction models to deal with the challenges and limitations of EHR data. Considers the complete cycle of EHR data analysis. The use of EHR/EMR analysis requires close collaborations between statisticians, informaticians, data scientists and clinical/epidemiological investigators. This book reflects that multidisciplinary perspective.

Artificial Intelligence and Machine Learning in Healthcare

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Publisher : Springer Nature
ISBN 13 : 9811608113
Total Pages : 228 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Artificial Intelligence and Machine Learning in Healthcare by : Ankur Saxena

Download or read book Artificial Intelligence and Machine Learning in Healthcare written by Ankur Saxena and published by Springer Nature. This book was released on 2021-05-06 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews the application of artificial intelligence and machine learning in healthcare. It discusses integrating the principles of computer science, life science, and statistics incorporated into statistical models using existing data, discovering patterns in data to extract the information, and predicting the changes and diseases based on this data and models. The initial chapters of the book cover the practical applications of artificial intelligence for disease prognosis & management. Further, the role of artificial intelligence and machine learning is discussed with reference to specific diseases like diabetes mellitus, cancer, mycobacterium tuberculosis, and Covid-19. The chapters provide working examples on how different types of healthcare data can be used to develop models and predict diseases using machine learning and artificial intelligence. The book also touches upon precision medicine, personalized medicine, and transfer learning, with the real examples. Further, it also discusses the use of machine learning and artificial intelligence for visualization, prediction, detection, and diagnosis of Covid -19. This book is a valuable source of information for programmers, healthcare professionals, and researchers interested in understanding the applications of artificial intelligence and machine learning in healthcare.

Fintech with Artificial Intelligence, Big Data, and Blockchain

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Publisher : Springer Nature
ISBN 13 : 9813361379
Total Pages : 306 pages
Book Rating : 4.8/5 (133 download)

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Book Synopsis Fintech with Artificial Intelligence, Big Data, and Blockchain by : Paul Moon Sub Choi

Download or read book Fintech with Artificial Intelligence, Big Data, and Blockchain written by Paul Moon Sub Choi and published by Springer Nature. This book was released on 2021-03-08 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces readers to recent advancements in financial technologies. The contents cover some of the state-of-the-art fields in financial technology, practice, and research associated with artificial intelligence, big data, and blockchain—all of which are transforming the nature of how products and services are designed and delivered, making less adaptable institutions fast become obsolete. The book provides the fundamental framework, research insights, and empirical evidence in the efficacy of these new technologies, employing practical and academic approaches to help professionals and academics reach innovative solutions and grow competitive strengths.