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Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
book

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

by Gary D. Miner, John Elder, Andrew Fast, Thomas Hill, Robert Nisbet, Dursun Delen
January 2012
Intermediate to advanced
1000 pages
28h 4m
English
Academic Press
Content preview from Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

Introduction

You may be interested in only a certain domain area and thus would prefer to go directly to tutorials or case studies that discuss your area, instead of having to flip through all the tutorials in this section of the book. If you cannot find a tutorial topic that is exactly in your area, you should be able to find one that is in an “enlarged arena” that is close to your interests. The following list will assist you in finding a tutorial to start your study. We should point out, however, that some of the latter tutorials in the list, namely V, W, X, and Z are more advanced, and will in some cases suggest, after initially working through the data set, that you go back to a previous tutorial and try the method illustrated there to this ...

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Publisher Resources

ISBN: 9780123869791