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9781635266641 - Sas Text Analytics for Business Applications: Concept Rules for Information Extraction Models by Jade Ma, Teresa; Belamaric-wilsey Phd, Biljana; Wallis Ms, Michael ... (18 results)
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SAS Text Analytics for Business Applications: Concept Rules for Information Extraction Models
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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SAS Text Analytics for Business Applications: Concept Rules for Information Extraction Models
Language: English
Published by SAS Institute 2019-03-27, 2019
ISBN 10: 1635266645 ISBN 13: 9781635266641
Paperback. Condition: New.
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SAS Text Analytics for Business Applications: Concept Rules for Information Extraction Models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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SAS Text Analytics for Business Applications: Concept Rules for Information Extraction Models
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Paperback. Condition: Brand New. 308 pages. 9.25x7.52x0.64 inches. In Stock.
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PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
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SAS Text Analytics for Business Applications Concept Rules for Information Extraction Models
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
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SAS Text Analytics for Business Applications: Concept Rules for Information Extraction Models
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Add to basketPaperback / softback. Condition: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
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Condition: New. Print on Demand pp. 308.
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Condition: New. Print on Demand pp. 308.
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Condition: New. PRINT ON DEMAND pp. 308.
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Taschenbuch. Condition: Neu. SAS Text Analytics for Business Applications | Concept Rules for Information Extraction Models | Teresa Jade (u. a.) | Taschenbuch | Englisch | 2019 | SAS Institute | EAN 9781635266641 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
