Data Analytics in Digital Humanities (Hardcover, 1st ed. 2017)

This book covers computationally innovative methods and technologies including data collection and elicitation, data processing, data analysis, data visualizations, and data presentation. It explores how digital humanists have harnessed the hypersociality and social technologies, benefited from the open-source sharing not only of data but of code, and made technological capabilities a critical part of humanities work. Chapters are written by researchers from around the world, bringing perspectives from diverse fields and subject areas. The respective authors describe their work, their research, and their learning. Topics include semantic web for cultural heritage valorization, machine learning for parody detection by classification, psychological text analysis, crowdsourcing imagery coding in natural disasters, and creating inheritable digital codebooks.Designed for researchers and academics, this book is suitable for those interested in methodologies and analytics that can be applied in literature, history, philosophy, linguistics, and related disciplines. Professionals such as librarians, archivists, and historians will also find the content informative and instructive.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	Multimedia Systems and Applications
Release date:	May 2017
First published:	2017
Editors:	Shalin Hai-Jew
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Hardcover
Pages:	295
Edition:	1st ed. 2017
ISBN-13:	978-3-319-54498-4
Categories:	Books > Humanities > General Books > Computing & IT > Computer communications & networking > General Books > Computing & IT > Internet > Network computers Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-54498-5
Barcode:	9783319544984

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