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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.
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)
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Text data mining. --- Natural language processing (Computer science) --- MATLAB. --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Text mining --- Text analysis (Data mining) --- Text analytics --- Computational linguistics --- Data mining --- MATLAB (Computer program) --- MATLAB (Computer file) --- Matrix laboratory
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1.
Information retrieval --- Mathematics --- Computer science --- Information systems --- Computer. Automation --- Matlab (informatica) --- IR (information retrieval) --- text mining --- computers --- informatica --- informatiesystemen --- database management --- wiskunde --- computerkunde --- data acquisition
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Information retrieval --- Mathematical control systems --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- datamining --- bedrijfssoftware --- informatica --- informatiesystemen --- wiskunde --- data acquisition
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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.
Information retrieval --- Mathematical control systems --- Computer architecture. Operating systems --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- datamining --- bedrijfssoftware --- informatica --- informatiesystemen --- wiskunde --- data acquisition
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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.
Human-robot interaction --- HRI (Human-robot interaction) --- Robot-human interaction --- Human engineering --- Communication. --- Signal processing. --- Image processing. --- Speech processing systems. --- User interfaces (Computer systems). --- Media and Communication. --- Signal, Image and Speech Processing. --- User Interfaces and Human Computer Interaction. --- Communication Studies. --- Interfaces, User (Computer systems) --- Human-machine systems --- Human-computer interaction --- Computational linguistics --- Electronic systems --- Information theory --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Communication, Primitive --- Mass communication --- Sociology
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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.
Computer science. --- Computational linguistics. --- Translation and interpretation. --- Computer Science. --- Language Translation and Linguistics. --- Computational Linguistics. --- Translation. --- Natural language processing (Computer science) --- Machine translating. --- Automatic translating --- Computer translating --- Electronic translating --- Mechanical translating --- NLP (Computer science) --- Algorithms --- Applied linguistics --- Artificial intelligence --- Natural language generation (Computer science) --- Information theory --- Translating and interpreting --- Cross-language information retrieval --- Translating machines --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Natural language processing (Computer science). --- Translating and interpreting. --- Natural Language Processing (NLP). --- Interpretation and translation --- Interpreting and translating --- Language and languages --- Literature --- Translation and interpretation --- Translators --- Automatic language processing --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Mathematical linguistics --- Multilingual computing --- Translating --- Data processing
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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.
Information retrieval --- Computer science --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- IR (information retrieval) --- computers --- informatiesystemen --- database management --- KI (kunstmatige intelligentie) --- computerkunde --- robots
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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.
Computer science --- Computer architecture. Operating systems --- Translation science --- Mathematical linguistics --- Linguistics --- spraaktechnologie --- machine learning --- computers --- vertalen --- linguïstiek --- computerkunde
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