This edited book will serve as a source of reference for
technologies and applications for multimodality data analytics in
big data environments. After an introduction, the editors organize
the book into four main parts on sentiment, affect and emotion
analytics for big multimodal data; unsupervised learning strategies
for big multimodal data; supervised learning strategies for big
multimodal data; and multimodal big data processing and
applications. The book will be of value to researchers,
professionals and students in engineering and computer science,
particularly those engaged with image and speech processing,
multimodal information processing, data science, and artificial
intelligence.
General
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