Mapping Texts: Computational Text Analysis for the Social Sciences

Mapping Texts: Computational Text Analysis for the Social Sciences

Mapping Texts: Computational Text Analysis for the Social Sciences

Mapping Texts: Computational Text Analysis for the Social Sciences


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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.

Product Details

ISBN-13: 9780197756881
Publisher: Oxford University Press
Publication date: 02/15/2024
Series: Computational Social Science
Pages: 328
Sales rank: 891,912
Product dimensions: 9.30(w) x 7.10(h) x 1.20(d)

About the Author

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.

Table of Contents


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

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