- 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
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- About this book
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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.
- Table of contents (12 chapters)
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Semantic Web for Cultural Heritage Valorisation
Pages 3-37
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Using the Formal Representations of “Elementary Events” to Set Up Computational Models of Full “Narratives”
Pages 39-64
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Parody Detection: An Annotation, Feature Construction, and Classification Approach to the Web of Parody
Pages 67-89
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Creating and Analyzing Literary Corpora
Pages 91-118
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Content and Sentiment Analysis on Online Social Networks (OSNs)
Pages 121-133
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Table of contents (12 chapters)
- Download Preface 1 PDF (49.8 KB)
- Download Sample pages 1 PDF (680.1 KB)
- Download Table of contents PDF (21.8 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Data Analytics in Digital Humanities
- Editors
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- Shalin Hai-Jew
- Series Title
- Multimedia Systems and Applications
- Copyright
- 2017
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing AG
- eBook ISBN
- 978-3-319-54499-1
- DOI
- 10.1007/978-3-319-54499-1
- Hardcover ISBN
- 978-3-319-54498-4
- Softcover ISBN
- 978-3-319-85408-3
- Edition Number
- 1
- Number of Pages
- XXII, 295
- Number of Illustrations
- 14 b/w illustrations, 23 illustrations in colour
- Topics
