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SAS^® Text Analytics for Business Applications: Concept Rules for Information Extraction Models

Information extraction is the task of automatically extracting structured information from unstructured or semi-structured text. SAS^® Text Analytics for Business Applications: Concept Rules for Information Extraction Models focuses on this key element of natural language processing and provides real-world guidance on the effective application of text analytics.

Enter promo code BOM40SEP at checkout. Offer ends at midnight September 30, 2020, ET.

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The Little SAS^®Book: A Primer, Sixth Edition

A Gentle Introduction to Statistics Using SAS^Ⓡ Studio

Fundamentals of Programming in SAS^®: A Case Studies Approach

Learning SAS^® by Example, Second Edition

JMP^® Essentials: An Illustrated Guide for New Users, Third Edition

Introduction to Biostatistics with JMP^®

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Author Spotlight

Teresa Jade

Teresa Jade, MA, is a principal linguistic specialist in Artificial Intelligence and Machine Learning, Research and Development, at SAS.

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Biljana Belamarić Wilsey

Biljana Belamarić Wilsey, PhD, is a senior linguist in Artificial Intelligence and Machine Learning, Research and Development, at SAS.

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Michael D. Wallis

Michael D. Wallis, MS, is a software engineer at RGP. Michael has been active in software development for nearly two decades.

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