Big Data Research ›› 2016, Vol. 2 ›› Issue (2): 46-55.doi: 10.11959/j.issn.2096-0271.2016018

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Social event sensor: a public opinion platform from the big data perspective

Yanyan ZHAO1,Bing QIN2,Ting LIU2   

  1. 1 Department of Media Technology and Art, Harbin Institute of Technology, Harbin 150001
    2 Research Center for Social Computing and Information Retrieval of Computer Science and Technology School, Harbin Institute of Technology, Harbin 150001
  • Online:2016-03-20 Published:2020-09-29
  • Supported by:
    The National Natural Science Foundation of China(61300113)

Abstract:

The development of Web 2.0 and social media has led to the explosive growth of online user generated content. Big data brings a new opportunity for social governance, but also poses a great challenge for the data processing technology. A social event sensor system was constructed, which not only can automatically extract the daily hot events and their emotion distributions in real time for opinion monitoring, but also can deeply analyze the emotion distribution causations and the population distributions to help policy-making in social governance. Finally, one case study “9.3 Parade”was showed to show the deeply analysis of social event sensor system.

Key words: big Web data, social event sensor, hot event extraction, sentiment distribution

CLC Number: 

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