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SAS text analytics for business applications: concept rules for information extraction models

Detalles Bibliográficos
Autores principales: Jade, Teresa, Wilsey, Biljana Belamaric, Wallis, Michael
Lenguaje:eng
Publicado: SAS Institute 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2674575
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author Jade, Teresa
Wilsey, Biljana Belamaric
Wallis, Michael
author_facet Jade, Teresa
Wilsey, Biljana Belamaric
Wallis, Michael
author_sort Jade, Teresa
collection CERN
id cern-2674575
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
publisher SAS Institute
record_format invenio
spelling cern-26745752021-04-21T18:25:09Zhttp://cds.cern.ch/record/2674575engJade, TeresaWilsey, Biljana BelamaricWallis, MichaelSAS text analytics for business applications: concept rules for information extraction modelsComputing and ComputersSAS Instituteoai:cds.cern.ch:26745752019
spellingShingle Computing and Computers
Jade, Teresa
Wilsey, Biljana Belamaric
Wallis, Michael
SAS text analytics for business applications: concept rules for information extraction models
title SAS text analytics for business applications: concept rules for information extraction models
title_full SAS text analytics for business applications: concept rules for information extraction models
title_fullStr SAS text analytics for business applications: concept rules for information extraction models
title_full_unstemmed SAS text analytics for business applications: concept rules for information extraction models
title_short SAS text analytics for business applications: concept rules for information extraction models
title_sort sas text analytics for business applications: concept rules for information extraction models
topic Computing and Computers
url http://cds.cern.ch/record/2674575
work_keys_str_mv AT jadeteresa sastextanalyticsforbusinessapplicationsconceptrulesforinformationextractionmodels
AT wilseybiljanabelamaric sastextanalyticsforbusinessapplicationsconceptrulesforinformationextractionmodels
AT wallismichael sastextanalyticsforbusinessapplicationsconceptrulesforinformationextractionmodels