Practical pointers on using text to predict or to describe data. This book cuts through the jargon and explains the methods you can use to make sense of unstructured text.  This is a book which can be used by students striving to learn about this discipline and by professionals who need to make use of this type of data—or need to deal with the people trying to sell them solutions.

Available for purchase at Amazon.com (direct link to purchase).

TEXT ANALYTICS PREDICTIVE AND DESCRIPTIVE

45 slides, giving an overview of the methods with examples

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WELCOME TO MACHINE LEARNING

38 slides, outlining principles and some useful applications

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DATA MINING: FACT AND FICTION

12 pages, 2007 white paper discusses how the discipline came of age, more or less, over 10 years

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SOME SPECIALIZED PROBLEM-SOLVING APPLICATIONS OF CHAID

3 pages, 1992 article explaining how CHAID can determine if any relationship whatsoever exists and making meta-variables

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