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
Summary
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
Bibliography
Includes bibliographical references
Notes
Online resource; title from cover (Safari, viewed May 1, 2019)
