November 2014
Beginner to intermediate
340 pages
10h 25m
English
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Index
A
accessing project data for Case Study 1: Text Mining SUGI/SAS Global Forum Paper Abstracts to Reveal Trends 194–196
Activated statistical model 171
ADDRESS default entity 86
advanced searches, in Query Web Server 29
algorithms, clustering 112–113, 119
AND operator 143
applications of content management 134
aspect level 165
aspect-level sentiment classification 166
association-based methods 112
attribute level 165
AUTHOR concept name 89
automatic detection 198–207
automatic generation
of categorization rules using SAS Text Miner 157–159
of rules in SAS Content Categorization Studio 140–141, 157–159
“The Automatic Creation of Literature Abstracts” (Luhn) 1
B
bag-of-words method, of text analysis 69
Bayes classifier 166
big data, handling ...
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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.
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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.