Analyzing textual information : from words to meanings through numbers /
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...
| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Thousand Oaks, California :
SAGE Publications,
[2022]
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| Series: | Quantitative applications in the social sciences ;
no. 188. |
| Subjects: |
| 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. |
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| Physical Description: | xix, 168 pages : illustrations ; 22 cm. |
| Bibliography: | Includes bibliographical references and index. Includes bibliographical references (pages 155-159) and index. |
| ISBN: | 9781544390000 1544390009 |