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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Endorsements for Practical Text Mining & Statistical Analysis for Non-structured Text Data Applications
“Practical”—that’s it! The first word in the title really sums it up. If you want big theoretical academic discussions, go read another book. When you want real help extracting insight from the mountains of text that you’re facing, this is the book to turn to for immediate practical advice. It will give you new ideas and frameworks to address your text mining problems. This book will help you get the job done!
The tutorials (case studies) that Gary and his coauthors have assembled really bring the book alive. They show real-world applications of text mining, including the complexity of text analysis, how real-world issues ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.