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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




[PDF.xt76] Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications

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 | #855003 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.|0 of 1 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 can specify the type of files you want, 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.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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