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

Language: English

Published by SAS Institute, 2019

1635266645 / 9781635266641

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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nach der Bestellung gedruckt Neuware - Printed after ordering - Extract actionable insights from text and unstructured data. 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 (NLP) and provides real-world guidance on the effective application of text analytics. Using scenarios and data based on business cases across many different domains and industries, the book includes many helpful tips and best practices from SAS text analytics experts to ensure fast, valuable insight from your textual data. Written for a broad audience of beginning, intermediate, and advanced users of SAS text analytics products, including SAS® Visual Text Analytics, SAS® Contextual Analysis, and SAS® Enterprise Content Categorization, this book provides a solid technical reference. You will learn the SAS information extraction toolkit, broaden your knowledge of rule-based methods, and answer new business questions. As your practical experience grows, this book will serve as a reference to deepen your expertise. …

Seller Inventory # 9781635266641

Title
SAS Text Analytics for Business Applications : Concept Rules for Information Extraction Models
Author
Michael Wallis
Publisher
SAS Institute
Publication year
2019
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1635266645
ISBN 13
9781635266641
Item weight
579 grams
Dimensions
235x191x17 mm

AHA-BUCH GmbH

Einbeck, Germany

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AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

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