A Public Opinion Analysis System for Urban Management Information

نویسندگان

  • Guanlin Chen
  • Shengquan Li
  • Xiaoyang Shen
  • Yujia Zhang
  • Gang Chen
چکیده

Digital urban management has been a fast developing trend in modern cities. And as the development of the urban management, there are an increasing number of people finding that public opinion information is quite valuable and important for this process. So in this paper, we design a public opinion analysis system for urban management information (POASUMI), in which we implement certain functionalities like public opinion information acquisition, Chinese word segmentation, analysis and statistic of sentiment and hotspot of public opinion information. The experimental results indicate that the results generated by POASUMI can match actual condition very well, definitely providing quite valuable information for urban management.

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عنوان ژورنال:
  • JCP

دوره 9  شماره 

صفحات  -

تاریخ انتشار 2014