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 16
The Future of Text and Web Analytics
Contents
Text Analytics and Text Mining
The Pros and Cons of Commercial Software versus Open Source Software
Integration of Web Analytics with Standard BI Tools
Attribution across Multiple Sessions
The Future: What Does It Hold?
We thank coauthor Gary Miner’s mentor, Dr. Irving Gottesman, for reviewing this chapter and providing important edits. Dr. Gottesman is also a guest-author on Tutorials I and U.
Text Analytics and Text Mining
Text analytics and text mining are at the stage that data mining was in the late 1990s. ...
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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.