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A Proposed Government Decision Support System Based on Citizens Interactions over Social Networks

Authors: 

Mohamed Adel, Adegboyega Ojo, Ghada A. El Khayat, Safaa Hussein

Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
This research proposes a Government Support Framework That analyze governmental policies (Introduced or Under discussions) and produce citizens’ satisfaction rates (Real-time and Predicted) towards the policy and its Aspects by using Natural Language Processing (NLP) Techniques and Knowledge Management Processes for Citizens’ eparticipation. Citizen to Government (C2G) interactions are analyzed to give insights to decision makers. The framework proposes the application of NLP, opinion mining and Data Mining algorithms to extract knowledge and produce predictions using Bayes Statistical Theorem over Keyword co-occurrences and sentiment analysis results to be presented through a simple dashboard Interface for unexperienced users. The produced system is a government support system that will finally lead to the inclusion of citizen satisfaction as a variable when making citizen related decisions for obtaining higher citizen satisfaction, citizen empowerment and inclusion.
Conference Name: 
FIFTH International Conference on Information and Communication Technology in Our Lives 2015
Proceedings: 
Proceedings of the FIFTH International Conference on Information and Communication Technology in Our Lives 2015
Digital Object Identifer (DOI): 
10.NA
Publication Date: 
19/12/2015
Conference Location: 
Egypt
Research Group: 
Institution: 
National University of Ireland, Galway (NUIG)
Open access repository: 
No