Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications PDF
By:Gary Miner
Published on 2012 by Academic Press
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The world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the textual data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. As the Internet expands and our natural capacity to process the unstructured text that it contains diminishes, the value of text mining for information retrieval and search will increase dramatically. This comprehensive professional reference brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis. The Handbook of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications presents a comprehensive how- to reference that shows the user how to conduct text mining and statistically analyze results. In addition to providing an in-depth examination of core text mining and link detection tools, methods and operations, the book examines advanced preprocessing techniques, knowledge representation considerations, and visualization approaches. Finally, the book explores current real-world, mission-critical applications of text mining and link detection using real world example tutorials in such varied fields as corporate, finance, business intelligence, genomics research, and counterterrorism activities. -Extensive case studies, most in a tutorial format, allow the reader to 'click through' the example using a software program, thus learning to conduct text mining analyses in the most rapid manner of learning possible -Numerous examples, tutorials, power points and datasets available via companion website on Elsevierdirect.com -Glossary of text mining terms provided in the appendix
This Book was ranked at 18 by Google Books for keyword medical computer application analyst.
Book ID of Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications's Books is -B6amxqygTMC, Book which was written byGary Minerhave ETAG "2Y2lKbxXNLw"
Book which was published by Academic Press since 2012 have ISBNs, ISBN 13 Code is 9780123869791 and ISBN 10 Code is 012386979X
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Book which have "1053 Pages" is Printed at BOOK under CategoryMathematics
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