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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Acknowledgments
The authors are grateful for the contributions of many whose time and expertise greatly improved the quality and reach of this book. We would like to thank Jennifer Thompson, Angela Waner, Linda Winters-Miner, Karthik Balakrishnan, Susan Trumbetta, and Irving Gottesman as guest authors who went beyond the call of writing just one tutorial, but also provided figures, paragraphs, or editorial assistance for individual chapters; Raymond Mitten for the front cover design; Greg Sergeant for his design advice; John Dimeo of Elder Research, Inc. (ERI) for significant contributions to the chapter on focused crawling; Sarah Will of ERI for graphical assistance; Julie McAlpine Platt, editor-in-chief at SAS Press Series, for making all ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.