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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Chapter 12
Web Analytics and Web Mining
Contents
Preamble
After a short introduction to the subject, the question is asked, “Why do it?” To many people, the subject of web analytics and web mining is a little esoteric, and the unspoken answer to this question is “I don’t! I just avoid it.” If that is not you, go on to Chapter 13. If this is you, reading this chapter might turn you on to web analytics. We will demystify the subject and provide you with a deeper understanding than you will gain solely from doing tutorials on the subject. After all, that is the goal of this book: to conduct you up the learning curve on text analytics ...
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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.