Data Analytics in Digital Humanities

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Éditeur :

Springer


Collection :

Multimedia Systems and Applications

Paru le : 2017-05-03

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Description

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.  



Pages
295 pages
Collection
Multimedia Systems and Applications
Parution
2017-05-03
Marque
Springer
EAN papier
9783319544984
EAN PDF
9783319544991

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
5612 Ko
Prix
105,49 €
EAN EPUB
9783319544991

Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
29
Taille du fichier
2918 Ko
Prix
105,49 €