Human-Centered Social Media Analytics

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.

• Age Estimation
• Big Data
• Computer Vision
• Demographic Sensing
• Face Recognition
• Human-Centered Computing
• Human-Computer Interaction
• Image Processing
• Kinship Verification
• Occupation Recognition
• Pattern Recognition
• Social Media

“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)

• Dept. of ECE, College of Engineering, Northeastern University, Boston, USA

  Yun Fu

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