Abstract
In this paper, we demonstrate a prototype system named EventSys, which provides efficient monitoring services for detecting and tracking event evolution on microblogging platforms. The major features of EventSys are: (1) It describes the lifecycle of an event by a staged model, and provides effective algorithms for detecting the stages of an event. (2) It offers emotional analysis over the stages of an event, through which people are able to know the public emotional tendency over a specific event at different time. (3) It provides a novel event-type-driven method to extract event tuples, which forms the foundation for event evolution analysis. After a brief introduction to the architecture and key technologies of EventSys, we present a case study to demonstrate the working process of EventSys.
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Acknowledgements
This work is supported by the National Science Foundation of China (61672479 and 71273010).
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Mu, L., Jin, P., Zheng, L., Chen, EH. (2018). EventSys: Tracking Event Evolution on Microblogging Platforms. In: Pei, J., Manolopoulos, Y., Sadiq, S., Li, J. (eds) Database Systems for Advanced Applications. DASFAA 2018. Lecture Notes in Computer Science(), vol 10828. Springer, Cham. https://doi.org/10.1007/978-3-319-91458-9_51
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DOI: https://doi.org/10.1007/978-3-319-91458-9_51
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