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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Jade, Teresa (Autor), Wilsey, Biljana Belamaric (Autor), Wallis, Michael (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Cary, NC : SAS Institute, [2019]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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020 |a 9781635266610 
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035 |a (OCoLC)1100643152  |z (OCoLC)1091029138  |z (OCoLC)1091250981  |z (OCoLC)1091587104 
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072 7 |a COM  |x 077000  |2 bisacsh 
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049 |a UAMI 
100 1 |a Jade, Teresa,  |e author. 
245 1 0 |a SAS text analytics for business applications :  |b concept rules for information extraction models /  |c Teresa Jade, Biljana Belamaric Wilsey, Michael Wallis. 
264 1 |a Cary, NC :  |b SAS Institute,  |c [2019] 
264 4 |c ©2019 
300 |a 1 online resource (1 volume) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
588 0 |a Online resource; title from cover (Safari, viewed May 1, 2019). 
504 |a Includes bibliographical references. 
505 0 |a Fundamentals of information extraction with SAS -- Fundamentals of named entities -- SAS predefined concepts : Enamex -- SAS predefined concepts: Timex, Numex, and Noun Group -- Fundamentals of creating custom concepts -- Concept rule types -- CONCEPT_RULE type -- Fact rule types -- Filter rule types -- REGEX rule type -- Best practices for custom concepts -- Fundamentals of data considerations -- Fundamentals of project design -- Fundamentals of model measurement. 
520 |a 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 analy. 
590 |a O'Reilly  |b O'Reilly Online Learning: Academic/Public Library Edition 
630 0 0 |a SAS (Computer file) 
630 0 7 |a SAS (Computer file)  |2 fast 
650 0 |a Text processing (Computer science) 
650 0 |a Text files  |x Analysis. 
650 0 |a Information storage and retrieval systems. 
650 2 |a Word Processing 
650 2 |a Information Systems 
650 6 |a Traitement de texte. 
650 6 |a Fichiers textes  |x Analyse. 
650 6 |a Systèmes d'information. 
650 7 |a COMPUTERS  |x Mathematical & Statistical Software.  |2 bisacsh 
650 7 |a Text processing (Computer science)  |2 fast 
650 7 |a Information storage and retrieval systems  |2 fast 
700 1 |a Wilsey, Biljana Belamaric,  |e author. 
700 1 |a Wallis, Michael,  |e author. 
710 2 |a SAS Institute,  |e publisher. 
856 4 0 |u https://learning.oreilly.com/library/view/~/9781635266610/?ar  |z Texto completo (Requiere registro previo con correo institucional) 
938 |a Askews and Holts Library Services  |b ASKH  |n AH39752554 
938 |a ProQuest Ebook Central  |b EBLB  |n EBL5741809 
938 |a EBSCOhost  |b EBSC  |n 2092620 
938 |a YBP Library Services  |b YANK  |n 16141746 
938 |a YBP Library Services  |b YANK  |n 16136811 
994 |a 92  |b IZTAP