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

3.43  ·  Rating details ·  21 ratings  ·  2 reviews
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, tools and methods a professional will need to efficiently use text mining applications and statistical analysis.

Winner of a 2012 PROSE Award in Computing and Information Sciences from the Association of American Publishers, this book presents a
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Hardcover, 1000 pages
Published January 25th 2012 by Academic Press (first published January 15th 2012)
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Willis
Dec 09, 2016 rated it did not like it
This is a 1000 page book and you would expect it to have a lot of information but it really doesn't really teach you much. The chapters are all written by different authors so there's a lot of redundancy and the flow is poor. About 700 pages of it are a bunch of tutorials and examples of text mining, which are poor and haphazardly organized. The tutorials generally use Statistica software so if you don't have it, it is really hard to follow along. In addition, most of the pages in the tutorials ...more
Deniss Ojastu
Dec 10, 2014 rated it really liked it
Shelves: research-science
A well-structured textbook on basic and more advanced topics in text mining. It does a good job on explaining main definitions, history and trends in the domain. Although a large volume, one can easily pick only the topics of an interest and need.
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