You are here

A Government Decision Analytics Framework Based on Citizen Opinion: Elaboration of the Knowledge Base Component


Mohamed Adel, Adegboyega Ojo, Ghada Elkhayat, Safaa Hussein

Publication Type: 
Refereed Conference Meeting Proceeding
Citizens’ satisfaction index anent public policies is a core political research question. Seeking agile and efficient public policies, canny public policy makers are perpetually investigating how to weigh citizens’ satisfaction index towards their policies, in order to overhaul faulty public policy aspects or topics that outcome a negative citizens’ satisfaction index. Multiple automated and manual citizen's’ satisfaction index calculation methods are applied [1]–[10], bearing in mind that a correct calculation will grant a significant success for the public policy and the public policymakers. Our perspective is that nevertheless the index was well calculated or not it is always too late, public policy is already issued and citizen reactions are ensue. Hence, we previously proposed a public policy satisfaction prediction framework [11], [12], this framework reckon on a knowledge base that allow formulating the prediction formulas. To acquire this knowledge base we extend the Core Public Policy Vocabulary [13], apply Named Entity Recognition and Topic Modeling in parallel for keywords extraction and semantic similarity measuring for relating the detected keywords with the pre-defined public policy aspects. The aforementioned methods will allow an automated population of the prediction knowledge base.
Conference Name: 
ICT in our lives 6th International Conference
ICT in our lives 6th International Conference proceedings, ISSN 2314-8942
Digital Object Identifer (DOI): 
Publication Date: 
Conference Location: 
Research Group: 
National University of Ireland, Galway (NUIG)
Open access repository: