Can I read Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications on EtoBox?

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 nonfiction available to read on EtoBox.

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

* "Theyve done it again. From the same industry leaders who brought you the "bible" of data mining comes the definitive, go-to text mining resource. This book empowers you to dig in and seize value, with over two dozen hands-on tutorials that drive an incredible range of applications such as predicting marketing success and detecting customer sentiment, criminal lies, writing authorship, and patient schizophrenia. These step-by-step tutorials immediately place you in the practitioners drivers seat, executing on text analytics. Beyond this, 17 more chapters cover the latest methods and the leading tools, making this the most comprehensive resource, and earning it a well-deserved place on your desk aside the authors data mining handbook." - **Eric Siegel**, Ph.D., Founder, Predictive Analytics World, Text Analytics World and Prediction Impact, Inc. Of the number of statistics books that are published each year, only a few stand out as really being important, meaning that they positively influence how future research is done in the subject area of the text. I believe that Practical Text Mining is just such a book. - **Joseph M. Hilbe**, JD, PhD, Arizona State University and Jet

Who reads Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications?

Author

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

Publisher

Academic Press, Incorporated

Published

2012

Language

EN

ISBN

9781283396257

Category

nonfiction

Subjects

Computer Science, Mathematics, Reference

Updated

2026-03-24