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Book
Text mining with MATLAB
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ISBN: 1461441501 1489994645 9786613936240 146144151X 128362379X Year: 2013 Publisher: New York, NY : Springer,

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Abstract

Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It’s 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 first part provides an introduction to basic procedures for handling and operating with text strings. Then, it reviews major mathematical modeling approaches. Statistical and geometrical models are also described along with main dimensionality reduction methods. Finally, it presents some specific applications such as document clustering, classification, search and terminology extraction. 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.

Keywords

Resampling (Statistics). --- Data mining --- Natural language processing (Computer science) --- Engineering & Applied Sciences --- Computer Science --- Data mining. --- MATLAB. --- NLP (Computer science) --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- MATLAB (Computer program) --- Matrix laboratory --- Computer science. --- Computer science --- Information storage and retrieval. --- Computer Science. --- Data Mining and Knowledge Discovery. --- Math Applications in Computer Science. --- Information Storage and Retrieval. --- Mathematics. --- Database searching --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Information storage and retrieva. --- Informatics --- Science --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Computer science—Mathematics. --- MATLAB (Computer file)


Book
Text mining with MATLAB®
Author:
ISBN: 3030876950 3030876942 Year: 2021 Publisher: Cham, Switzerland : Springer,


Digital
Text Mining with MATLAB®
Author:
ISBN: 9781461441519 Year: 2013 Publisher: New York, NY Springer


Digital
Text Mining with MATLAB®
Author:
ISBN: 9783030876951 9783030876968 9783030876944 Year: 2021 Publisher: Cham Springer International Publishing

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Abstract

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.


Book
Text Mining with MATLAB®
Authors: ---
ISBN: 9783030876951 9783030876968 9783030876944 Year: 2021 Publisher: Cham Springer International Publishing :Imprint: Springer


Book
9th International Workshop on Spoken Dialogue System Technology
Authors: --- ---
ISBN: 9811394431 9811394423 Year: 2019 Publisher: Singapore : Springer Singapore : Imprint: Springer,

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This book presents the outcomes of the 9th International Workshop on Spoken Dialogue Systems (IWSDS), “Towards creating more human-like conversational agent technologies”. It compiles and provides a synopsis of current global research to push forward the state of the art in dialogue technologies, including advances in the context of the classical problems of language understanding, dialogue management and language generation, as well as cognitive topics related to the human nature of conversational phenomena, such as humor, empathy and social context understanding and awareness.


Book
Hybrid Approaches to Machine Translation
Authors: --- --- --- --- --- et al.
ISBN: 3319213105 3319213113 Year: 2016 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This volume provides an overview of the field of Hybrid Machine Translation (MT) and presents some of the latest research conducted by linguists and practitioners from different multidisciplinary areas. Nowadays, most important developments in MT are achieved by combining data-driven and rule-based techniques. These combinations typically involve hybridization of different traditional paradigms, such as the introduction of linguistic knowledge into statistical approaches to MT, the incorporation of data-driven components into rule-based approaches, or statistical and rule-based pre- and post-processing for both types of MT architectures. The book is of interest primarily to MT specialists, but also – in the wider fields of Computational Linguistics, Machine Learning and Data Mining – to translators and managers of translation companies and departments who are interested in recent developments concerning automated translation tools.


Book
Information Retrieval Technology : 9th Asia Information Retrieval Societies Conference, AIRS 2013, Singapore, December 9-11, 2013, Proceedings
Authors: --- --- --- --- --- et al.
ISBN: 3642450679 3642450687 Year: 2013 Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer,

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Abstract

This book constitutes the refereed proceedings of the 9th Information Retrieval Societies Conference, AIRS 2013, held in Singapore, in December 2013. The 27 full papers and 18 poster presentations included in this volume were carefully reviewed and selected from 109 submissions. They are organized in the following topical sections: IR theory, modeling and query processing; clustering, classification and detection; natural language processing for IR; social networks, user-centered studies and personalization; and applications.

Keywords

Computer science. --- Database management. --- Information storage and retrieval systems. --- Artificial intelligence. --- Computer Science. --- Information Storage and Retrieval. --- Database Management. --- Information Systems Applications (incl. Internet). --- Artificial Intelligence (incl. Robotics). --- Engineering & Applied Sciences --- Computer Science --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Informatics --- Information storage and retrieval. --- Information retrieval --- Information storage and retrieva. --- Artificial Intelligence. --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software


Book
9th International Workshop on Spoken Dialogue System Technology
Authors: --- --- ---
ISBN: 9789811394430 Year: 2019 Publisher: Singapore Springer Singapore :Imprint: Springer

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Keywords


Digital
Information Retrieval Technology : 9th Asia Information Retrieval Societies Conference, AIRS 2013, Singapore, December 9-11, 2013. Proceedings
Authors: --- --- --- --- --- et al.
ISBN: 9783642450686 Year: 2013 Publisher: Berlin, Heidelberg Springer

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Abstract

This book constitutes the refereed proceedings of the 9th Information Retrieval Societies Conference, AIRS 2013, held in Singapore, in December 2013. The 27 full papers and 18 poster presentations included in this volume were carefully reviewed and selected from 109 submissions. They are organized in the following topical sections: IR theory, modeling and query processing; clustering, classification and detection; natural language processing for IR; social networks, user-centered studies and personalization; and applications.

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