Text as data computational methods of understanding written expression using SAS

"This book provides a high-level, integrated overview of text analytics and the role of SAS software in the ever-evolving information technology environment. The author uses his 18 years of experience to show the reader how using multiple sources of data and machine learning approaches can prod...

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Detalles Bibliográficos
Autor principal: De Ville, Barry (-)
Otros Autores: Bawa, Gurpreet Singh, 1983- autor (autor)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Hoboken, New Jersey : Wiley 2021.
Colección:Wiley and SAS business series.
Wiley ebooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b45940198*spi
Descripción
Sumario:"This book provides a high-level, integrated overview of text analytics and the role of SAS software in the ever-evolving information technology environment. The author uses his 18 years of experience to show the reader how using multiple sources of data and machine learning approaches can produce superior results. He emphasizes text as qualitative data in the context of traditional quantitative data analytics. The book begins with a description of the structure and dynamics of the text analytics process, before delving deeper into his combined linguistic + quantitative approach to analyzing data. Topics covered include numeric vs. textual data, expression parsing and detection, and text mapas"--
Descripción Física:1 recurso electrónico
Formato:Forma de acceso: World Wide Web.
Bibliografía:Incluye índice y referencias bibliográficas.
ISBN:9781119487142
9781119487159
9781119487173