Data Analytics in Digital Humanities
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Beschreibung
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.
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
Autor*in
Shalin Hai-Jew
Themen in »Data Analytics in Digital Humanities«
Data analytics Digital humanities Literary corpora Narratives Sentiment analysis Cultural heritage semantics LIWC2015 Machine parody detection Related tags networks Inheritable digital codebooks Library science in DH