The thirteen papers in this special section focus on social media data analytics with deep intelligence. Big cross-model social media data analytics with deep intelligence aims to handle data sampling from multimodal deep spaces, so as to well characterize the big data. The addressed topic span from the range of human action recognition to affective computing, disaster detection, classification, retrieval, clustering, vehicle reidentification, and data security.

中文翻译：

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具有深度智能的大型跨模式社交媒体数据分析

本节的十三篇论文重点介绍具有深度智能的社交媒体数据分析。具有深度智能的大型跨模型社交媒体数据分析旨在处理来自多模式深空的数据采样，从而很好地表征大数据。涉及的主题涵盖了从人类动作识别到情感计算，灾难检测，分类，检索，聚类，车辆重新识别和数据安全的范围。