Human-Centered Social Media Analytics
Editors: Fu, Yun (Ed.)
- Provides a survey of next-generation social computational methodologies, from fundamentals to state-of-the-art techniques
- Includes perspectives from an international and interdisciplinary selection of pre-eminent authorities
- Presents balanced coverage of both detailed theoretical analysis and real-world applications
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- About this book
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This book provides a timely and unique survey of next-generation social computational methodologies. The text explains the fundamentals of this field, and describes state-of-the-art methods for inferring social status, relationships, preferences, intentions, personalities, needs, and lifestyles from human information in unconstrained visual data. Topics and features: includes perspectives from an international and interdisciplinary selection of pre-eminent authorities; presents balanced coverage of both detailed theoretical analysis and real-world applications; examines social relationships in human-centered media for the development of socially-aware video, location-based, and multimedia applications; reviews techniques for recognizing the social roles played by people in an event, and for classifying human-object interaction activities; discusses the prediction and recognition of human attributes via social media analytics, including social relationships, facial age and beauty, and occupation.
- Reviews
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“Human-Centered Social Media Analytics focuses on the novel social computational methodologies that are being developed to investigate social media data. … Scholars, both new and established, should consider reading … to gain an understanding of the questions they should pursue and the challenges they must overcome as they strive to advance big data and social media analytics research.” (Pratyush Bharati, Interfaces, Vol. 47 (3), May-June, 2017)
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- Download Sample pages 2 PDF (814.1 KB)
- Download Table of contents PDF (44.1 KB)
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Bibliographic Information
- Bibliographic Information
-
- Book Title
- Human-Centered Social Media Analytics
- Editors
-
- Yun Fu
- Copyright
- 2014
- Publisher
- Springer International Publishing
- Copyright Holder
- Springer International Publishing Switzerland
- eBook ISBN
- 978-3-319-05491-9
- DOI
- 10.1007/978-3-319-05491-9
- Hardcover ISBN
- 978-3-319-05490-2
- Softcover ISBN
- 978-3-319-34709-7
- Edition Number
- 1
- Number of Pages
- VIII, 208
- Number of Illustrations and Tables
- 46 b/w illustrations, 51 illustrations in colour
- Topics
