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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.

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  • We started tracking this book on June 25, 2019.
  • This book was $67.99 when we started tracking it.
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  • The current price of this book is $67.99 last checked one day ago.
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  • The lowest price to date was $52.30 last reached on November 12, 2020.
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  • File Size: 3,094 KB

We last verified the price of this book about one day ago. At that time, the price was $67.99. This price is subject to change. The price displayed on the Amazon.com website at the time of purchase is the price you will pay for this book. Please confirm the price before making any purchases.