SAS text analytics for business applications : concept rules for information extraction models /

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...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Jade, Teresa (Autor), Wilsey, Biljana Belamaric (Autor), Wallis, Michael (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cary, NC : SAS Institute, [2019]
Temas:
SAS (Computer file)
Text processing (Computer science)
Text files > Analysis.
Information storage and retrieval systems.
Word Processing
Information Systems
Traitement de texte.
Fichiers textes > Analyse.
Systèmes d'information.
COMPUTERS > Mathematical & Statistical Software.
Information storage and retrieval systems
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario: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 analy.
Descripción Física:1 online resource (1 volume) : illustrations
Bibliografía:Includes bibliographical references.
ISBN:9781635266610
1635266610
1635266637
9781635266634

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