In this technical demonstration, we propose a cloud-based Big Data Platform for Social Multimedia Analytics called bBridge that automatically detects and profiles meaningful user communities in a specified geographical region, followed by rich analytics on communities’ multimedia streams. The system executes a community detection approach that considers the ability of social networks to complement each other during the process of latent representation learning, while the community profiling is implemented based on the state-of-the-art multi-modal latent topic modeling and personal user profiling techniques. The stream analytics is performed via cloud-based stream analytics engine, while the multi-source data crawler deployed as a distributed cloud jobs. Overall, the bBridge platform integrates all the above techniques to serve both business and personal objectives.

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