Hardcover. Etat : new. Hardcover. 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. Whenmapping 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 thetextual 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 campaignsto 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 andcutting-edge techniques.The book will prove useful not only to social scientists, but anyone interested in conducting text analysis projects. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N� de r�f. du vendeur 9780197756874

Contacter le vendeur

Acheter neuf

EUR 123,84

Autre devise

Frais de port : Gratuit

Vers Etats-Unis

Destinations, frais et d�lais

Quantit� disponible : 1 disponible(s)

Ajouter au panier

Image fournie par le vendeur

Mapping Texts : Computational Text Analysis for the Social Sciences

Stoltz, Dustin S.; Taylor, Marshall A.

Edit� par Oxford University Press, 2024

ISBN 10 : 0197756875 ISBN 13 : 9780197756874

Ancien ou d'occasion Couverture rigide

Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Etat : As New. Unread book in perfect condition. N� de r�f. du vendeur 46654232

Contacter le vendeur

Acheter D'occasion

EUR 107,56

Autre devise

Frais de port : EUR 17,84

De Royaume-Uni vers Etats-Unis

Destinations, frais et d�lais

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Mapping Texts: Computational Text Analysis for the Social Sciences

Dustin S. Stoltz

Edit� par Oxford University Press Inc, 2024

ISBN 10 : 0197756875 ISBN 13 : 9780197756874

Neuf Couverture rigide

impression � la demande

Vendeur : THE SAINT BOOKSTORE, Southport, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Hardback. Etat : New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 717. N� de r�f. du vendeur C9780197756874

Contacter le vendeur

Acheter neuf

EUR 110,01

Autre devise

Frais de port : EUR 16,56

De Royaume-Uni vers Etats-Unis

Destinations, frais et d�lais

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Mapping Texts: Computational Text Analysis for the Social Sciences (Computational Social Science)

Stoltz, Dustin S.

Edit� par Oxford University Press, 2024

ISBN 10 : 0197756875 ISBN 13 : 9780197756874

Neuf Couverture rigide

Vendeur : Russell Books, Victoria, BC, Canada

�valuation du vendeur 5 sur 5 �toiles

hardcover. Etat : New. Special order direct from the distributor. N� de r�f. du vendeur ING9780197756874

Contacter le vendeur

Acheter neuf

EUR 130,16

Autre devise

Frais de port : EUR 8,95

De Canada vers Etats-Unis

Destinations, frais et d�lais

Quantit� disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Mapping Texts (Hardcover)

Dustin S. Stoltz

Edit� par Oxford University Press Inc, New York, 2024

ISBN 10 : 0197756875 ISBN 13 : 9780197756874

Neuf Couverture rigide

Vendeur : CitiRetail, Stevenage, Royaume-Uni

�valuation du vendeur 5 sur 5 �toiles

Hardcover. Etat : new. Hardcover. 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. Whenmapping 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 thetextual 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 campaignsto 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 andcutting-edge techniques.The book will prove useful not only to social scientists, but anyone interested in conducting text analysis projects. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N� de r�f. du vendeur 9780197756874

Contacter le vendeur