January 2012
Intermediate to advanced
1000 pages
28h 4m
English
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
Content preview from Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
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Foreword 2
Practical Text Mining and Statistical Analysis for Nonstructured Text Data Applications follows in the tradition of the popular Handbook of Statistical Analysis & Data Mining Applications (Elsevier, 2009), which was authored by three of this new text’s six authors: Robert Nisbet, John Elder, and Gary Miner. Three additional authors—Thomas Hill, Dursun Delen, and Andrew Fast—contributed to this book, each bringing substantial experience in text mining.
Practical Text Mining was written to be used as an application-oriented text mining handbook. At some thousand pages in length, the authors have created a text that will to my mind serve as the standard resource in the field for many years. The authors have managed to provide readers ...
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