Mapping Texts

Computational Text Analysis for the Social Sciences

Dustin S. Stoltz, Marshall A. Taylor (Autoren)

Buch | Softcover

328 Seiten

2024
Oxford University Press Inc (Verlag)
978-0-19-775688-1 (ISBN)

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Mapping Texts is the first introduction to computational text analysis that simultaneously blends conceptual treatments with practical, hands-on examples that walk the reader through how to conduct text analysis projects with real data. The book shows how to conduct text analysis in the R statistical computing environment--a popular programming language in data science.

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.

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.

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

Erscheinungsdatum	10.07.2023
Reihe/Serie	Computational Social Science
Verlagsort	New York
Sprache	englisch
Maße	236 x 180 mm
Gewicht	544 g
Themenwelt	Schulbuch / Wörterbuch ► Lexikon / Chroniken
	Sozialwissenschaften ► Kommunikation / Medien ► Kommunikationswissenschaft
	Sozialwissenschaften ► Pädagogik
	Sozialwissenschaften ► Politik / Verwaltung ► Politische Theorie
	Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
ISBN-10	0-19-775688-3 / 0197756883
ISBN-13	978-0-19-775688-1 / 9780197756881
Zustand	Neuware