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 and code. The book shows how to conduct text analysis in the R statistical computing environment – a popular programming language in data science.


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ADVANCE PRAISE

Stoltz and Taylor have managed to create a work that confidently takes even a beginner to a position of sophistication and technical virtuosity, leading to not only a practical mastery of cutting edge techniques, nor just that plus a clear understanding of the mathematical bases, but also gives the reader an intuitive feel for the larger social contexts that produce the text data analyzed... and all this without dropping a single equation in the reader's lap!  A true gem.
John Levi Martin, Florence Borchert Bartling Professor of Sociology at The University of Chicago and author of Thinking Through Methods


SUPPORTING R PACKAGES

text2maptext2map.corporatext2map.dictionariestext2map.pretrainedtext2map.theme