Text as data : computational methods of understanding written expression using SAS /
De Ville, Barry,
Text as data : computational methods of understanding written expression using SAS / by Barry deVille and Gurpreet Singh Bawa. - 1 online resource. - Wiley and SAS business series . - Wiley and SAS business series. .
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"--
9781119487142 1119487145 1119487153 9781119487173 111948717X 9781119487159
10.1002/9781119487142 doi
9781119487128 O'Reilly Media
2021033912
Text data mining.
Computational intelligence.
SAS (Computer program language)
Intelligence informatique.
SAS (Langage de programmation)
Computational intelligence
SAS (Computer program language)
Text data mining
QA76.9.D343 / D48 2022
006.3/12
Text as data : computational methods of understanding written expression using SAS / by Barry deVille and Gurpreet Singh Bawa. - 1 online resource. - Wiley and SAS business series . - Wiley and SAS business series. .
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"--
9781119487142 1119487145 1119487153 9781119487173 111948717X 9781119487159
10.1002/9781119487142 doi
9781119487128 O'Reilly Media
2021033912
Text data mining.
Computational intelligence.
SAS (Computer program language)
Intelligence informatique.
SAS (Langage de programmation)
Computational intelligence
SAS (Computer program language)
Text data mining
QA76.9.D343 / D48 2022
006.3/12