NLU Meghalaya Library

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

By: Contributor(s): Material type: TextSeries: Wiley and SAS business seriesPublisher: Hoboken, New Jersey : John Wiley & Sons, Inc., [2022]Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781119487142
  • 1119487145
  • 1119487153
  • 9781119487173
  • 111948717X
  • 9781119487159
Subject(s): Additional physical formats: Print version:: Text as dataDDC classification:
  • 006.3/12 23
LOC classification:
  • QA76.9.D343 D48 2022
Online resources:
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 online resource; title from digital title page (viewed on April 15, 2022).

John Wiley and Sons Wiley Online Library: Complete oBooks

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