SAS text analytics for business applications : concept rules for information extraction models / Teresa Jade, Biljana Belamaric Wilsey, Michael Wallis.
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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Full Text (via O'Reilly/Safari) |
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| Main Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Cary, NC :
SAS Institute,
[2019]
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| Subjects: |
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.