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http://dx.doi.org/10.12672/ksis.2015.23.3.035

Study on U-City Service Issue and Trends based Text Mining - Using the Network Analysis and Information Measure Method -  

Jeong, Dawoon (Urban Information Engineering, Anyang University)
Yoo, Jisong (Urban Information Engineering, Anyang University)
Yi, Mi-Sook (Urban Information Engineering, Anyang University)
Shin, Dong Bin (Urban Information Engineering, Anyang University)
Publication Information
Spatial Information Research / v.23, no.3, 2015 , pp. 35-44 More about this Journal
Abstract
Recently, the government aims to discover and provide services to citizens on the development strategy for activating the U-City. So, this study aims to offer a service discovery direction by analyzing the service issues and trends. The target is newspaper article about U-City Service from 2009 to 2014. Prepared 723 newspaper article for analysis. Next step is frequency analysis of keyword and used that result for Network analysis and measure of information. Network analysis can show result through "Degree Centrality", "Betweenness Centrality" and "Closeness Centrality". As a result, "Information", "IT", "Environment", "Technology", "Center" is higher than another. These 5 keywords are important factors for driving the U-City the past six years. Information measurement results, Already U-City were put an emphasis on building the infrastructure and able to identify a trend that provided the center of the public service. Those Service field are "Tour(2009)", "Crime prevention and Disaster Prevention(2010)", "Facility Management(2011)", "administration(2012)" and "Facility Management(2013, 2014)". Result of this study found implications what on citizen participation. So, services field on the existing infrastructure should be discovered and provided. Finally, this study can expected to be a reference in the local government planning for U-City.
Keywords
U-City Service; Frequency Analysis of Keyword; Network Analysis; Information Measure; Citizen Experience;
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