Abstract
By studying the international advanced practices of government integrity evaluation represented by Standard & Poor\'s, Global Integrity, Transparency International and Korea, this paper found that most of the evaluations are based on perceptual surveys. Although this method of data acquisition is simple and easy to implement, it has inherent defects, such as strong subjectivity, lack of details, prone to cause sample deviation, etc. Based on the goal of improving government capacity in integrity, this paper put forward a new idea of government integrity evaluation based on big data: Firstly, collect the behavior data and complaint reporting data in the government business systems, combine with the public opinion data on the Internet. Then, use the big data technology to get the evaluation indicator data of government integrity. Finally, construct a scientific evaluation model through the credit scorecard method. Compared with the traditional measure of evaluation, the government integrity evaluation based on big data in this paper not only can obtain more accurate evaluation results, but also has great value in its evaluation process. A large amount of objective and quantitative - rather than subjective and perceived data - can better support government decision-making and reform. The scientific evaluation indicator system can also guide the specific work of the government.
Modules
Algorithms
Software And Hardware
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask,hadoop Frontend :-python Backend:- MYSQL