March 2019
Beginner to intermediate
308 pages
9h 33m
English
book
SAS Text Analytics for Business Applications
by Teresa Jade, Biljana Belamaric-Wilsey, Michael Wallis
Content preview from SAS Text Analytics for Business Applications
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About This Book
What Does This Book Cover?
The independent research firm Forrester recognized SAS as a leader in text analytics. The field of text analytics is rapidly growing, but effective use of models for information extraction (IE) is elusive. This book focuses on tips, best practices, and pitfalls of writing IE rules and creating IE models, with the goal of meeting the needs of a broad audience of users of text analytics products such as SAS Visual Text Analytics, SAS Contextual Extraction, and SAS Enterprise Content Categorization.
The primary goal of the book is to answer application questions, such as the following:
- What criteria were used for developing the predefined concept rules and what type of results are expected to be found ...
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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.