Rezk, Mohamed Adel and Ojo, Adegboyega and El Khayat, Ghada A. and Hussein, Safaa
(2018)
A predictive government decision based on citizen opinions - tools & results.
In:
ICEGOV '18: Proceedings of the 11th International Conference on Theory and Practice of Electronic Governance.
Association for Computing Machinery (ACM), pp. 712-714.
ISBN 9781450354219
Abstract
Research on citizen satisfaction with respect to public policies has
significant public and political value. Politicians are generally
seeking effective public policies that favourably impacts citizens’
satisfaction. Citizen satisfaction index is a plausible mechanism
for public policy makers to monitor and evaluate the public
policies. While surveys on citizen satisfaction are common among
agile and progressive public administration and governments,
automating the computation of citizen's’ satisfaction is
challenging. Given that surveys and evaluations related to citizen
satisfaction are retrospective, remedial actions when necessary
are always somewhat late. We describe in this poster a predictive
analytics framework for citizen satisfaction with respect to public
policy based on the previous citizen sentiments past related
policies.
| Item Type: |
Book Section
|
| Keywords: |
Government Decision Support; Decision Analytics; Policy
Acceptance Prediction; Citizen Satisfaction; Policy Aspects;
Opinion Mining; Sentiment Analysis; Semantic Relatedness;
Topic Modeling; Social Media; Unstructured Text Analysis; |
| Academic Unit: |
Faculty of Social Sciences > School of Business |
| Item ID: |
13369 |
| Identification Number: |
https://doi.org/10.1145/3209415.3209504 |
| Depositing User: |
Adegboyega Ojo
|
| Date Deposited: |
02 Oct 2020 15:00 |
| Publisher: |
Association for Computing Machinery (ACM) |
| Refereed: |
Yes |
| URI: |
|
| Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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