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.
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.
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.
Inhaltsangabe
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
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
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