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 3
Conceptual Foundations of Text Mining and Preprocessing Steps
Contents
Preamble
After you determine what you want to do with text mining, you must compose the set of steps that you can follow to perform it. In the next chapter, you will learn about one of the most important innovations in text processing: the generalized vector-space model. Documents are represented by a string of values (a vector), in which each element in the string represents a unique word or word group contained among the list documents. Each element of the vector contains either a 1 or a 0 (for the ...
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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.