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...

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Bibliographic Details
Call Number:Libro Electrónico
Main Authors: Jade, Teresa (Author), Wilsey, Biljana Belamaric (Author), Wallis, Michael (Author)
Format: Electronic eBook
Language:Inglés
Published: Cary, NC : SAS Institute, [2019]
Subjects:
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
Online Access:Texto completo (Requiere registro previo con correo institucional)
Table of Contents:
  • Fundamentals of information extraction with SAS
  • Fundamentals of named entities
  • SAS predefined concepts : Enamex
  • SAS predefined concepts: Timex, Numex, and Noun Group
  • Fundamentals of creating custom concepts
  • Concept rule types
  • CONCEPT_RULE type
  • Fact rule types
  • Filter rule types
  • REGEX rule type
  • Best practices for custom concepts
  • Fundamentals of data considerations
  • Fundamentals of project design
  • Fundamentals of model measurement.

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