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Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications by Gary Miner, John Elder IV, Thomas Hill, Robert Nisbet, Dursun Delen, Andrew Fast is a scholarly article available to read on EtoBox.

What is Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications about?

<p><i>Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications</i> brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.</p> <p>Winner of a 2012 PROSE Award in Computing and Information Sciences from the Association of American Publishers, this book 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.</p> <p>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 n

Author

Gary Miner, John Elder IV, Thomas Hill, Robert Nisbet, Dursun Delen, Andrew Fast

Publisher

Elsevier/AP

Published

2012

Language

EN

ISBN

9780123869791