Mining Text Data PDF
By:Charu C. Aggarwal,ChengXiang Zhai
Published on 2012-02-03 by Springer Science & Business Media
Text mining applications have experienced tremendous advances because of web 2.0 and social networking applications. Recent advances in hardware and software technology have lead to a number of unique scenarios where text mining algorithms are learned. Mining Text Data introduces an important niche in the text analytics field, and is an edited volume contributed by leading international researchers and practitioners focused on social networks & data mining. This book contains a wide swath in topics across social networks & data mining. Each chapter contains a comprehensive survey including the key research content on the topic, and the future directions of research in the field. There is a special focus on Text Embedded with Heterogeneous and Multimedia Data which makes the mining process much more challenging. A number of methods have been designed such as transfer learning and cross-lingual mining for such cases. Mining Text Data simplifies the content, so that advanced-level students, practitioners and researchers in computer science can benefit from this book. Academic and corporate libraries, as well as ACM, IEEE, and Management Science focused on information security, electronic commerce, databases, data mining, machine learning, and statistics are the primary buyers for this reference book.
This Book was ranked at 5 by Google Books for keyword medical computer applications acl.
Book ID of Mining Text Data's Books is vFHOx8wfSU0C, Book which was written byCharu C. Aggarwal,ChengXiang Zhaihave ETAG "LnW5JuoN20Y"
Book which was published by Springer Science & Business Media since 2012-02-03 have ISBNs, ISBN 13 Code is 9781461432234 and ISBN 10 Code is 1461432235
Reading Mode in Text Status is false and Reading Mode in Image Status is true
Book which have "524 Pages" is Printed at BOOK under CategoryComputers
Book was written in en
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