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Analyzing textual information : from words to meanings through numbers / Johannes Ledolter, The University of Iowa, Lea S. VanderVelde, The University of Iowa.

By: Contributor(s): Material type: TextPublisher: Los Angeles, California : SAGE Publications, Inc., c2022Description: xix, 168 p. : illustrations ; 22 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781544390000
Subject(s): LOC classification:
  • H61 .L43 2022
Action note:
  • Cataloging Notes: 20251031 STAMIU-0199STAMIU-0199
Summary: "Researchers in the social sciences and beyond are dealing more and more with massive quantities of text data requiring analysis, from historical letters to the constant stream of content in social media. Traditional texts on statistical analysis have focused on numbers, but this book will provide a practical introduction to the quantitative analysis of textual data. Using up-to-date R methods, this book will take readers through the text analysis process, from text mining and pre-processing the text to final analysis. It includes two major case studies using historical and more contemporary text data to demonstrate the practical applications of these methods. Currently, there is no introductory how-to book on textual data analysis with R that is up-to-date and applicable across the social sciences. Code and a variety of additional resources are available on an accompanying website for the book"-- Provided by publisher.
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Holdings
Item type Current library Collection Call number Status Barcode
Book AMREF INTERNATIONAL UNIVERSITY (AMIU) LIBRARY General Stacks Non-fiction H61 .L43 2022 (Browse shelf(Opens below)) Available 30159
Book AMREF INTERNATIONAL UNIVERSITY (AMIU) LIBRARY General Stacks Non-fiction H61 .L43 2022 (Browse shelf(Opens below)) Available 30160

Includes index and bibliographical references

Includes bibliographical references and index.

"Researchers in the social sciences and beyond are dealing more and more with massive quantities of text data requiring analysis, from historical letters to the constant stream of content in social media. Traditional texts on statistical analysis have focused on numbers, but this book will provide a practical introduction to the quantitative analysis of textual data. Using up-to-date R methods, this book will take readers through the text analysis process, from text mining and pre-processing the text to final analysis. It includes two major case studies using historical and more contemporary text data to demonstrate the practical applications of these methods. Currently, there is no introductory how-to book on textual data analysis with R that is up-to-date and applicable across the social sciences. Code and a variety of additional resources are available on an accompanying website for the book"-- Provided by publisher.

Cataloging Notes: 20251031 STAMIU-0199STAMIU-0199

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