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Item Details
Title: DATA ANALYTICS IN DIGITAL HUMANITIES
Volume: 2017
By: Shalin Hai-Jew (Editor)
Format: Hardback

List price: £129.99


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 3319544985
ISBN 13: 9783319544984
Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
Pub. date: 12 May, 2017
Edition: 2017 ed.
Series: Multimedia Systems and Applications
Pages: 295
Synopsis: 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.
Illustrations: 14 black & white illustrations, 23 colour illustrations, biography
Publication: Switzerland
Imprint: Springer International Publishing AG
Returns: Non-returnable
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DESIGN STRATEGIES AND INNOVATIONS IN MULTIMEDIA PRESENTATIONS (HB)
DESIGNING INSTRUCTION FOR OPEN SHARING (HB)
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DIGITAL IMAGERY AND INFORMATIONAL GRAPHICS IN E-LEARNING: MAXIMIZING VISUAL TECHNOLOGIES
ELECTRONIC HIVE MINDS ON SOCIAL MEDIA
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ENHANCING QUALITATIVE AND MIXED METHODS RESEARCH WITH TECHNOLOGY
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METHODS FOR ANALYZING AND LEVERAGING ONLINE LEARNING DATA
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OPEN-SOURCE TECHNOLOGIES FOR MAXIMIZING THE CREATION, DEPLOYMENT, AND USE OF DIGITAL RESOURCES AND INFORMATION
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OPEN-SOURCE TECHNOLOGIES FOR MAXIMIZING THE CREATION, DEPLOYMENT, AND USE OF DIGITAL RESOURCES AND INFORMATION (HB)
PACKAGING DIGITAL INFORMATION FOR ENHANCED LEARNING AND ANALYSIS (HB)
PACKAGING DIGITAL INFORMATION FOR ENHANCED LEARNING AND ANALYSIS: DATA VISUALIZATION, SPATIALIZATION, AND MULTIDIMENSIONALITY
PACKAGING DIGITAL INFORMATION FOR ENHANCED LEARNING AND ANALYSIS: DATA VISUALIZATION, SPATIALIZATION, AND MULTIDIMENSIONALITY
PRACTICAL PEER-TO-PEER TEACHING AND LEARNING ON THE SOCIAL WEB (HB)
PROFILING TARGET LEARNERS FOR THE DEVELOPMENT OF EFFECTIVE LEARNING STRATEGIES
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SELFIES AS A MODE OF SOCIAL MEDIA AND WORK SPACE RESEARCH (HB)
SOCIAL MEDIA DATA EXTRACTION AND CONTENT ANALYSIS
SOCIAL MEDIA DATA EXTRACTION AND CONTENT ANALYSIS
SOCIAL MEDIA DATA EXTRACTION AND CONTENT ANALYSIS (HB)
TECHNIQUES FOR CODING IMAGERY AND MULTIMEDIA (HB)
VIRTUAL IMMERSIVE AND 3D LEARNING SPACES (HB)
VIRTUAL IMMERSIVE AND 3D LEARNING SPACES: EMERGING TECHNOLOGIES AND TRENDS
VISUAL APPROACHES TO INSTRUCTIONAL DESIG (HB)
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