Modern Computational Models of Semantic Discovery in Natural Language (Advances in Data Mining and Database Management)

 
9781466686908: Modern Computational Models of Semantic Discovery in Natural Language (Advances in Data Mining and Database Management)
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Languagethat is, oral or written content that references abstract concepts in subtle waysis 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.

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About the Author:

Jan ika is an Associate Professor at the Department of Informatics, Faculty of Business and Economics, Mendel University Brno, member of SoNet research center, editor-in-chief of International Journal of Information Sciences and Techniques (IJIST), and International Journal of Computer Science & Information Technology (IJCSIT), a member of editorial boards and program committees of several other international scientific journals and conferences. He is also an author and co-author of many journal and conference peer-reviewed articles, and co-editor of several books in the area of informatics. His research areas include artificial intelligence, machine learning, and text/data mining.

Frantiek Daøena works as an Associate Professor and head of Information systems working group at the Department of Informatics, Faculty of Business and Economics, Mendel University Brno, he is a member of SoNet research center, author of several publications in international scientific journals, conference proceedings, and monographs, member of editorial board of international journals and editor-in-chief of International Journal in Foundations of Computer Science & Technology (IJFCST). His research areas include artificial intelligence, machine learning, and text/data mining.

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