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Text as data : computational methods of understanding written expression using SAS / by Barry deVille and Gurpreet Singh Bawa.

By: De Ville, Barry [author.].
Contributor(s): Bawa, Gurpreet Singh, 1983- [author.].
Material type: materialTypeLabelBookSeries: Wiley and SAS business series: Publisher: Hoboken, New Jersey : Wiley, 2021Description: 1 online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781119487142; 1119487145; 9781119487159; 1119487153; 9781119487173; 111948717X.Subject(s): Text data mining | Computational intelligence | SAS (Computer program language) | Computational intelligence | SAS (Computer program language) | Text data miningGenre/Form: Electronic books.Additional physical formats: Print version:: Text as dataDDC classification: 006.3/12 Online resources: Wiley Online Library
Contents:
Text mining and text analytics -- Text analytics process overview -- Text data source capture -- Document content and characterization -- Textual abstraction : latent structure, dimension reduction -- Classification and prediction -- Boolean methods of classification and prediction -- Speech to text.
Summary: "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 maps"-- Provided by publisher.
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Includes bibliographical references and index.

Text mining and text analytics -- Text analytics process overview -- Text data source capture -- Document content and characterization -- Textual abstraction : latent structure, dimension reduction -- Classification and prediction -- Boolean methods of classification and prediction -- Speech to text.

"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 maps"-- Provided by publisher.

Description based on print version record and CIP data provided by publisher; resource not viewed.

Wiley Frontlist Obook All English 2021

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