TITLE

Deriving the Impact of Governmental Decisions by Mining Public Opinions

AUTHOR(S)
Stylios, George; Stamou, Sofia; Christodoulakis, Dimitris
PUB. DATE
January 2009
SOURCE
Proceedings of the European Conference on e-Government;2009, p622
SOURCE TYPE
Conference Proceeding
DOC. TYPE
Article
ABSTRACT
In this paper, we propose the application of data mining techniques towards capturing the public's opinion communicated online and concerning governmental decisions. The objective of our study is twofold and focuses on understanding the citizen opinions about e-government issues and on the exploitation of these opinions in subsequent governmental actions. Currently, there exist numerous social web sites where people interact with each other by posting messages, exchanging opinions, comments and so forth. Some of such sites are dedicated to governmental issues, in the sense that all the topics being discussed there pertain to administrative and legislative issues that concern every citizen. Given the availability of these online data, we suggest the use of data mining techniques in order to extract information about: (i) the polarity and the implicit impact factor that citizens assign to every governmental decision, and (iii) how this impact affects the formulation of new decisions. In our current study, we outline the methodology towards accomplishing the above objectives and we propose the architecture of an interactive e-government platform.
ACCESSION #
48918817

 

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