JCP 2014 Vol.9(9): 2022-2028 ISSN: 1796-203X
doi: 10.4304/jcp.9.9.2022-2028
doi: 10.4304/jcp.9.9.2022-2028
A Public Opinion Analysis System for Urban Management Information
Guanlin Chen1, Shengquan Li2, Xiaoyang Shen1, Yujia Zhang3, and Gang Chen1
1School of Computer and Computing Science, Zhejiang University City College, Hangzhou, 310015, China
College of Computer Science, Zhejiang University, Hangzhou, 310027, China
2Digital Urban Management Information Center, City Management Committee, Hangzhou, 310003, China
3Citigroup Software Technology and Services (China) Limited, Shanghai, 201203, China
Abstract—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.
Index Terms—public opinion, sentiment analysis, hotspot analysis, digital urban management.
College of Computer Science, Zhejiang University, Hangzhou, 310027, China
2Digital Urban Management Information Center, City Management Committee, Hangzhou, 310003, China
3Citigroup Software Technology and Services (China) Limited, Shanghai, 201203, China
Abstract—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.
Index Terms—public opinion, sentiment analysis, hotspot analysis, digital urban management.
Cite: Guanlin Chen, Shengquan Li, Xiaoyang Shen, Yujia Zhang, and Gang Chen, "A Public Opinion Analysis System for Urban Management Information," Journal of Computers vol. 9, no. 9, pp. 2022-2028, 2014.
General Information
ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
-
Nov 14, 2019 News!
Vol 14, No 11 has been published with online version [Click]
-
Mar 20, 2020 News!
Vol 15, No 2 has been published with online version [Click]
-
Dec 16, 2019 News!
Vol 14, No 12 has been published with online version [Click]
-
Sep 16, 2019 News!
Vol 14, No 9 has been published with online version [Click]
-
Aug 16, 2019 News!
Vol 14, No 8 has been published with online version [Click]
- Read more>>