Multimodal Analytics for Next-Generation Big Data Technologies and Applications

• Corporate Author: SpringerLink (Online service)
• Other Authors: Seng, Kah Phooi (Editor, http://id.loc.gov/vocabulary/relators/edt), Ang, Li-minn (Editor, http://id.loc.gov/vocabulary/relators/edt), Liew, Alan Wee-Chung (Editor, http://id.loc.gov/vocabulary/relators/edt), Gao, Junbin (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Artificial intelligence.; Artificial Intelligence.

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...

Table of Contents:

• Foundations and Principles
• Advanced Information and Knowledge Processing
• Advanced Models and Architectures
• Advanced Applications and Future Trends.