Theory And Applications For Advanced Text Mining
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Theory And Applications For Advanced Text Mining
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Author : Shigeaki Sakurai
language : en
Publisher:
Release Date : 2012
Theory And Applications For Advanced Text Mining written by Shigeaki Sakurai and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with categories.
Due to the growth of computer technologies and web technologies, we can easily collect and store large amounts of text data. We can believe that the data include useful knowledge. Text mining techniques have been studied aggressively in order to extract the knowledge from the data since late 1990s. Even if many important techniques have been developed, the text mining research field continues to expand for the needs arising from various application fields. This book is composed of 9 chapters introducing advanced text mining techniques. They are various techniques from relation extraction to under or less resourced language. I believe that this book will give new knowledge in the text mining field and help many readers open their new research fields.
Theory And Applications For Advanced Text Mining
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Author : Shigeaki Sakurai
language : en
Publisher: BoD – Books on Demand
Release Date : 2012-11-21
Theory And Applications For Advanced Text Mining written by Shigeaki Sakurai and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-11-21 with Computers categories.
Due to the growth of computer technologies and web technologies, we can easily collect and store large amounts of text data. We can believe that the data include useful knowledge. Text mining techniques have been studied aggressively in order to extract the knowledge from the data since late 1990s. Even if many important techniques have been developed, the text mining research field continues to expand for the needs arising from various application fields. This book is composed of 9 chapters introducing advanced text mining techniques. They are various techniques from relation extraction to under or less resourced language. I believe that this book will give new knowledge in the text mining field and help many readers open their new research fields.
The Text Mining Handbook
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Author : Ronen Feldman
language : en
Publisher: Cambridge University Press
Release Date : 2006-12-11
The Text Mining Handbook written by Ronen Feldman and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-12-11 with Computers categories.
Text mining is a new and exciting area of computer science research that tries to solve the crisis of information overload by combining techniques from data mining, machine learning, natural language processing, information retrieval, and knowledge management. Similarly, link detection – a rapidly evolving approach to the analysis of text that shares and builds upon many of the key elements of text mining – also provides new tools for people to better leverage their burgeoning textual data resources. The Text Mining Handbook presents a comprehensive discussion of the state-of-the-art in text mining and link detection. In addition to providing an in-depth examination of core text mining and link detection algorithms and operations, the book examines advanced pre-processing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection in such varied fields as M&A business intelligence, genomics research and counter-terrorism activities.
Text Mining With Matlab
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Author : Rafael E. Banchs
language : en
Publisher: Springer Nature
Release Date : 2021-10-21
Text Mining With Matlab written by Rafael E. Banchs and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-21 with Computers categories.
Text Mining with MATLAB® provides a comprehensive introduction to text mining using MATLAB. It is designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications. The book is structured in three main parts: The first part, Fundamentals, introduces basic procedures and methods for manipulating and operating with text within the MATLAB programming environment. The second part of the book, Mathematical Models, is devoted to motivating, introducing, and explaining the two main paradigms of mathematical models most commonly used for representing text data: the statistical and the geometrical approach. Eventually, the third part of the book, Techniques and Applications, addresses general problems in text mining and natural language processing applications such as document categorization, document search, content analysis, summarization, question answering, and conversational systems. This second edition includes updates in line with the recently released “Text Analytics Toolbox” within the MATLAB product and introduces three new chapters and six new sections in existing ones. All descriptions presented are supported with practical examples that are fully reproducible. Further reading, as well as additional exercises and projects, are proposed at the end of each chapter for those readers interested in conducting further experimentation.
Text Analysis With Python A Research Oriented Guide
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Author : Mamta Mittal
language : en
Publisher: Bentham Science Publishers
Release Date : 2022-08-12
Text Analysis With Python A Research Oriented Guide written by Mamta Mittal and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-12 with Computers categories.
Text Analysis with Python: A Research-Oriented Guide is a quick and comprehensive reference on text mining using python code. The main objective of the book is to equip the reader with the knowledge to apply various machine learning and deep learning techniques to text data. The book is organized into eight chapters which present the topic in a structured and progressive way. Key Features · Introduces the reader to Python programming and data processing · Introduces the reader to the preliminaries of natural language processing (NLP) · Covers data analysis and visualization using predefined python libraries and datasets · Teaches how to write text mining programs in Python · Includes text classification and clustering techniques · Informs the reader about different types of neural networks for text analysis · Includes advanced analytical techniques such as fuzzy logic and deep learning techniques · Explains concepts in a simplified and structured way that is ideal for learners · Includes References for further reading Text Analysis with Python: A Research-Oriented Guide is an ideal guide for students in data science and computer science courses, and for researchers and analysts who want to work on artificial intelligence projects that require the application of text mining and NLP techniques.
Text Mining
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Author : Ashok N. Srivastava
language : en
Publisher: Chapman and Hall/CRC
Release Date : 2009-06-15
Text Mining written by Ashok N. Srivastava and has been published by Chapman and Hall/CRC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-06-15 with Computers categories.
The Definitive Resource on Text Mining Theory and Applications from Foremost Researchers in the Field Giving a broad perspective of the field from numerous vantage points, Text Mining: Classification, Clustering, and Applications focuses on statistical methods for text mining and analysis. It examines methods to automatically cluster and classify text documents and applies these methods in a variety of areas, including adaptive information filtering, information distillation, and text search. The book begins with chapters on the classification of documents into predefined categories. It presents state-of-the-art algorithms and their use in practice. The next chapters describe novel methods for clustering documents into groups that are not predefined. These methods seek to automatically determine topical structures that may exist in a document corpus. The book concludes by discussing various text mining applications that have significant implications for future research and industrial use. There is no doubt that text mining will continue to play a critical role in the development of future information systems and advances in research will be instrumental to their success. This book captures the technical depth and immense practical potential of text mining, guiding readers to a sound appreciation of this burgeoning field.
Optimization Based Data Mining Theory And Applications
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Author : Yong Shi
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-05-16
Optimization Based Data Mining Theory And Applications written by Yong Shi and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-05-16 with Computers categories.
Optimization techniques have been widely adopted to implement various data mining algorithms. In addition to well-known Support Vector Machines (SVMs) (which are based on quadratic programming), different versions of Multiple Criteria Programming (MCP) have been extensively used in data separations. Since optimization based data mining methods differ from statistics, decision tree induction, and neural networks, their theoretical inspiration has attracted many researchers who are interested in algorithm development of data mining. Optimization based Data Mining: Theory and Applications, mainly focuses on MCP and SVM especially their recent theoretical progress and real-life applications in various fields. These include finance, web services, bio-informatics and petroleum engineering, which has triggered the interest of practitioners who look for new methods to improve the results of data mining for knowledge discovery. Most of the material in this book is directly from the research and application activities that the authors’ research group has conducted over the last ten years. Aimed at practitioners and graduates who have a fundamental knowledge in data mining, it demonstrates the basic concepts and foundations on how to use optimization techniques to deal with data mining problems.
The Routledge Handbook Of Translation And Health
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Author : Şebnem Susam-Saraeva
language : en
Publisher: Taylor & Francis
Release Date : 2021-05-09
The Routledge Handbook Of Translation And Health written by Şebnem Susam-Saraeva and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-09 with Language Arts & Disciplines categories.
The Routledge Handbook of Translation and Health provides a bridge between translation studies and the burgeoning field of health humanities, which seeks novel ways of understanding health and illness. As discourses around health and illness are dependent on languages for their transmission, impact, spread, acceptance and rejection in local settings, translation studies offers a wealth of data, theoretical approaches and methods for studying health and illness globally. Translation and health intersect in a multitude of settings, historical moments, genres, media and users. This volume brings together topics ranging from interpreting in healthcare settings to translation within medical sciences, from historical and contemporary travels of medicine through translation to areas such as global epidemics, disaster situations, interpreting for children, mental health, women’s health, disability, maternal health, queer feminisms and sexual health, and nutrition. Contributors come from a wide range of disciplines, not only from various branches of translation and interpreting studies, but also from disciplines such as psychotherapy, informatics, health communication, interdisciplinary health science and classical Islamic studies. Divided into four sections and each contribution written by leading international authorities, this timely Handbook is an indispensable resource for all students and researchers of translation and health within translation and interpreting studies, as well as medical and health humanities. Introduction and Chapter 18 of this book are freely available as a downloadable Open Access PDF at http://www.taylorfrancis.com under a Creative Commons [Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND)] 4.0 license.
Polypharmacology
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Author : Zhiguo Wang
language : en
Publisher: Springer Nature
Release Date : 2022-08-01
Polypharmacology written by Zhiguo Wang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-01 with Medical categories.
There is a growing interest in unmet needs for the development of a new discipline in drug discovery and in university education on polypharmacology. However, there has not been a book with the comprehensive compilation of basic knowledge and advanced methodology that is needed. This book aims to meet the needs making Polypharmacology a new sub-discipline of Pharmacology, not only being a hot area of pharmacological research and education but also a new paradigm for drug discovery. It contains the contents covering the entire scope of Polypharmacology including systemic in-depth exposition of basic knowledge, novel concepts, innovative technologies, and translational and clinical applications by showcasing state-of-the-art strategies and step-by-step instructions of cutting-edge methods. The contents of this book targets broad readerships including scientists in pharmacology research and drug development, and university teachers and graduates in medical school or school of pharmacy.
Smart Health
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Author : Andreas Holzinger
language : en
Publisher: Springer
Release Date : 2015-02-24
Smart Health written by Andreas Holzinger and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-24 with Medical categories.
Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems. The very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning. The papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress.