SAS Text Analytics for Business Applications
1st Edition
Concept Rules for Information Extraction Models
eBook Features
-
Read Anywhere
Read your book anywhere, on any device, through RedShelf's cloud based eReader.
-
Digital Notes and Study Tools
Built-in study tools include highlights, study guides, annotations, definitions, flashcards, and collaboration.
-
Text-to-Speech Compatible
Have the book read to you!
-
Offline Access
(
100% )
The publisher of this book allows a portion of the content to be used offline.
-
Printing
(
20%
)
The publisher of this book allows a portion of the content to be printed.
-
Copy/Paste
(
20% )
The publisher of this book allows a portion of the content to be copied and pasted into external tools and documents.
Additional Book Details
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.
Additional resources for this book can be found by accessing the link below.
| Sold By | SAS Institute |
|---|---|
| ISBNs | 9781635266610, 9781635266641, 9781635266634, 9781642951943 |
| Publish Year | 2019 |
| Language | English |
| Number of Pages | 308 |
| Edition | 1st |
| Website | https://support.sas.com/jade |