Data analytics in digital humanities /

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Bibliographic Details
Imprint:Cham, Switzerland : Springer, [2017]
Description:1 online resource (xxii, 295 pages) : illustrations
Series:Multimedia systems and applications
Multimedia systems and applications series.
Subject:Digital humanities -- Data processing.
LANGUAGE ARTS & DISCIPLINES -- Library & Information Science -- General.
Electronic books.
Format: E-Resource Book
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Other authors / contributors:Hai-Jew, Shalin, editor.
Digital file characteristics:text file PDF
Notes:Includes bibliographical references.
Summary: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.
Other form:Print version: Data analytics in digital humanities. Cham, Switzerland : Springer, [2017] 9783319544984
Standard no.:10.1007/978-3-319-54499-1