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

Jade MA, Teresa; Belamaric-Wilsey PhD, Biljana; Wallis MS, Michael D.

 
9781635266641: SAS Text Analytics for Business Applications: Concept Rules for Information Extraction Models
Tapa blanda
ISBN 10: 1635266645 ISBN 13: 9781635266641
Editorial: SAS Institute, 2019

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Editorial
SAS Institute
Año de publicación
2019
Idioma
Inglés
ISBN 10 
1635266645
ISBN 13 
9781635266641
Encuadernación
Tapa blanda
Número de páginas
308
Contacto del fabricante
no disponible
Persona responsable
no disponible

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9781642951943: SAS Text Analytics for Business Applications: Concept Rules for Information Extraction Models

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ISBN 10:  1642951943 ISBN 13:  9781642951943
Editorial: SAS Institute Inc., 2019
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