Overview
- Describes innovative data analytics methods and customized technologies for digital humanities research and analysis
- Showcases digital humanities research teams from national and international contexts
- Suitable for researchers, academics, librarians, archivists and historians
- Includes supplementary material: sn.pub/extras
Part of the book series: Multimedia Systems and Applications (MMSA)
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Table of contents (12 chapters)
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Front Matter
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Design of Representational Systems
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Front Matter
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Text Capture and Textual Exploration
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Front Matter
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Applied Technologies for Data Analytics
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Front Matter
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Sense-Making in the World
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Front Matter
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Support for Digital Humanities Work
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Front Matter
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Keywords
About this book
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.
Editors and Affiliations
Bibliographic Information
Book Title: Data Analytics in Digital Humanities
Editors: Shalin Hai-Jew
Series Title: Multimedia Systems and Applications
DOI: https://doi.org/10.1007/978-3-319-54499-1
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Hardcover ISBN: 978-3-319-54498-4Published: 12 May 2017
Softcover ISBN: 978-3-319-85408-3Published: 28 July 2018
eBook ISBN: 978-3-319-54499-1Published: 03 May 2017
Series ISSN: 1568-2358
Series E-ISSN: 2945-5715
Edition Number: 1
Number of Pages: XXII, 295
Number of Illustrations: 14 b/w illustrations, 23 illustrations in colour
Topics: Information Systems and Communication Service, Computer Appl. in Arts and Humanities, Computer Communication Networks, Artificial Intelligence