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 1
The History of Text Mining
Contents
The Roots of Text Mining: Information Retrieval, Extraction, and Summarization
Information Extraction and Modern Text Mining
Major Innovations in Text Mining since 2000
The Development of Enabling Technology in Text Mining
Emerging Applications in Text Mining
Sentiment Analysis and Opinion Mining
Preamble
Why write a chapter on the history of text mining? There are at least three reasons: to provide the context in which text mining developed; to show the development paths followed in text mining techniques, which can point to how to expand and improve text mining techniques in the future; and to avoid ...
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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.