Book description
Unstructured data is the most voluminous form of data in the world, and several elements are critical for any advanced analytics practitioner leveraging SAS software to effectively address the challenge of deriving value from that data. This book covers the five critical elements of entity extraction, unstructured data, entity resolution, entity network mapping and analysis, and entity management. By following examples of how to apply processing to unstructured data, readers will derive tremendous long-term value from this book as they enhance the value they realize from SAS products.
Table of contents
- About This Book
- Acknowledgments
- Chapter 1: Getting Started with Regular Expressions
- Chapter 2: Using Regular Expressions in SAS
- Chapter 3: Entity Resolution Analytics
- Chapter 4: Entity Extraction
- Chapter 5: Extract, Transform, Load
- Chapter 6: Entity Resolution
- Chapter 7: Entity Network Mapping and Analysis
- Chapter 8: Entity Management
- Appendix A: Additional Resources
Product information
- Title: Unstructured Data Analysis
- Author(s):
- Release date: September 2018
- Publisher(s): SAS Institute
- ISBN: 9781635267099
You might also like
book
Unstructured Data Analytics
Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to …
book
Intelligent Data Analysis
This book focuses on methods and tools for intelligent data analysis, aimed at narrowing the increasing …
book
Data Science, 2nd Edition
Learn the basics of Data Science through an easy to understand conceptual framework and immediately practice …
book
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications
Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications brings together all the information, …