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Real-time Public Mood Tracking of Chinese Microblog Streams with Complex Event Processing
There are not many real-time public mood tracking frameworks over social media streams at present. Real-time public mood tracking over microblogs becomes necessary for further studies with low-latency requirements. To address this issue, we propose a hierarchical framework for real-time public mood time series tracking over Chinese microblog streams using complex event processing. Complex event processing is able to handle high-speed and high-volume data streams. First, we transform microblogsdoi:10.1109/access.2016.2633721 fatcat:hh7btht7sfcwdnc727pbay7yhu