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 [author.]
Language: English Series: Wiley and SAS business series: Publisher: Hoboken, New Jersey : Wiley, 2021Description: 1 online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9781119487128 ; 9781119487142; 1119487145; 9781119487159; 1119487153; 9781119487173; 111948717XSubject(s): Text data mining | Computational intelligence | SAS (Computer program language)Genre/Form: Electronic books.DDC classification: 006.3/12 LOC classification: QA76.9.D343Online resources: Full text is available at Wiley Online Library Click here to view 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.| Item type | Current location | Home library | Call number | Status | Date due | Barcode | Item holds |
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EBOOK
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COLLEGE LIBRARY | COLLEGE LIBRARY | 006.312 D495 2021 (Browse shelf) | Available |
Includes bibliographical references and index.
"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.
About the Author
BARRY DEVILLE is a Data Scientist and Solutions Architect with 18 years of experience working at SAS. He led the development of the KnowledgeSEEKER decision tree package and has given workshops and tutorials on decision trees for Statistics Canada, the American Marketing Association, the IEEE, and the Direct Marketing Association.
GURPREET SINGH BAWA is the Data Science Senior Manager at Accenture PLC in India. He delivers advanced analytics solutions for global clients in a variety of corporate sectors.
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