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Computational social science mapping texts


Foto: Computational social science mapping texts
Rubriek: Textual/Printed/Reference Materials - Boek
Prijs: 30.2 Nu voor: 24.69
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Uiterlijk 24 januari in huis


Inhoudsopgave:

Omschrijving:

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.



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Product specificaties:

Taal: en

Bindwijze: Paperback

Oorspronkelijke releasedatum: 22 maart 2024

Aantal pagina's: 328

Hoofdauteur: Dustin S. Stoltz

Hoofduitgeverij: Oxford University Press Inc

Product breedte: 236 mm

Product hoogte: 31 mm

Product lengte: 180 mm

Verpakking breedte: 236 mm

Verpakking hoogte: 31 mm

Verpakking lengte: 180 mm

Verpakkingsgewicht: 544 g

EAN: 9780197756881