Mapping Texts

Computational Text Analysis for the Social Sciences
Erscheinungsjahr 2024
ISBN: 978-0-19-775688-1
Verlag: Oxford University Press Inc

Buch, Englisch, 326 Seiten, Format (B × H): 173 mm x 244 mm, Gewicht: 550 g

Learn how to conduct a robust text analysis project from start to finish--and then do it again.

Mining is the dominant metaphor in computational text analysis. When mining texts, the implied assumption is that analysts can find kernels of truth--they just have to sift through the rubbish first. In this book, Dustin Stoltz and Marshall Taylor encourage text analysts to work with a different metaphor in mind: mapping. When mapping texts, the goal is not necessarily to find meaningful needles in the haystack, but instead to create reductions of the text to document patterns. Just like with cartographic maps, though, the type and nature of the textual map is dependent on a range of decisions on the part of the researcher. Creating reproducible workflows is therefore critical for the text analyst.

Mapping Texts offers a practical introduction to computational text analysis with step-by-step guides on how to conduct actual text analysis workflows in the R statistical computing environment. The focus is on social science questions and applications, with data ranging from fake news and presidential campaigns to Star Trek and pop stars. The book walks the reader through all facets of a text analysis workflow--from understanding the theories of language embedded in text analysis, all the way to more advanced and cutting-edge techniques.

The book will prove useful not only to social scientists, but anyone interested in conducting text analysis projects.

Autoren/Hrsg.

Stoltz, Dustin S.

Taylor, Marshall A.

Fachgebiete

• Wirtschaftswissenschaften Wirtschaftssektoren & Branchen Medien-, Informations und Kommunikationswirtschaft Verlagswesen
• Sozialwissenschaften Medien- und Kommunikationswissenschaften Kommunikationswissenschaften
• Sozialwissenschaften Politikwissenschaft Politikwissenschaft Allgemein Politische Theorie, Politische Philosophie
• Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologische Forschungsmethoden
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Forschungsmethodik, Wissenschaftliche Ausstattung
• Geisteswissenschaften Sprachwissenschaft Computerlinguistik, Korpuslinguistik
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik

Inhaltsverzeichnis

- Preface

- Acknowledgements

- I Bounding Texts

- Ch. 1 Text in Context

- Ch. 2 Corpus Building

- II Prerequisites

- Ch. 3 Computing Basics

- Ch. 4 Math Basics

- III Foundations

- Ch. 5 Acquiring Text

- Ch. 6 From Text to Numbers

- IV Below the Document

- Ch. 7 Wrangling Words

- Ch. 8 Tagging Words

- V The Document and Beyond

- Ch. 9 Core Deductive

- Ch. 10 Core Inductive

- Ch. 11 Extended Inductive

- Ch. 12 Extended Deductive

- Ch. 13 Project Workflow and Iteration

- Appendix

- References

Über Autor(innen)

Dustin S. Stoltz is an assistant professor of sociology and cognitive science at Lehigh University. His research explores how social structure, culture, and cognition shapes ideas and evaluations.

Marshall A. Taylor is an assistant professor of sociology at New Mexico State University. His research focuses on questions of cognition and measurement in the sociology of culture.