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

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




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 | #868501 in Books |  2012-01-25 | Original language:English | PDF # 1 |  1.70 x7.60 x9.30l,4.01 | File type: PDF | 1000 pages

||6 of 7 people found the following review helpful.| No depth analysis for each example|By hxy0135 NJ|It has a lot practical examples on how text mining is used in different industry. I like those examples. But the format and the structure of the book makes it like a user operation manual for those mining tools used in the book. I have expected depth analysis for each example.|7 of 9 people found the following review helpful.|| ||"They’ve 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 in

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 comprehensive how-to reference that shows the user how to conduct text mining and stat...

You easily download any file type for your device.Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications   |  Gary Miner, John Elder IV, Thomas Hill, Robert Nisbet, Dursun Delen, Andrew Fast. Just read it with an open mind because none of us really know.

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