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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Databases

• Full title: Multimodal Analytics for Next-Generation Big Data Technologies and Applications
• Author: Kah Phooi Seng, Li-Minn Ang, Alan Wee-Chung Liew, Junbin Gao
• Language: English
• Binding: Hardback
• Number of pages: 391
• EAN: 9783319975979
• ISBN: 3319975978
• ID: 19745349
• Publisher: Springer International Publishing AG
• Weight: 776 g
• Dimensions: 235 × 155 × 27 mm
• Date of publishing: 30. July 2019

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