SAS Text Analytics for Business Applications
Concept Rules for Information Extraction Models
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 y…
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Produktdetails
Weitere Autoren: Belamaric-Wilsey, Biljana / Wallis, Michael
- ISBN: 978-1-63526-661-0
- EAN: 9781635266610
- Produktnummer: 34848812
- Verlag: SAS Institute
- Sprache: Englisch
- Erscheinungsjahr: 2019
- Seitenangabe: 308 S.
- Plattform: EPUB
- Masse: 3'089 KB
Über den Autor
Teresa Jade, MA, is a principal linguistic specialist in Artificial Intelligence and Machine Learning, Research and Development, at SAS. She holds multiple master's degrees in linguistics. She loves big (text) data and analytics, and she has worked in the field of NLP for 19 years. Teresa started her career by working in Silicon Valley start-up companies for 9 years, and she has been at SAS for the past 6 years. She holds one NLP patent in categorization and information retrieval and has two pending NLP patent applications in information extraction and clause detection.
1 weiteres Werk von Teresa Jade:
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