Open Access
ARTICLE
The Analysis of China’s Integrity Situation Based on Big Data
Wangdong Jiang1, Taian Yang1, *, Guang Sun1, 3, Yucai Li1, Yixuan Tang2, Hongzhang Lv1, Wenqian Xiang1
1 School of Information Management and Technology, Institute of Big Data, Hunan University of Finance and Economics, Changsha, 410205, China.
2 Housheng School of International Education, Hunan University of Finance and Economics, Changsha,
410205, China.
3 School of Engineering, The University of Alabama, Tuscaloosa, 35487, USA.
* Corresponding Author: Taian Yang. Email: .
Journal on Big Data 2019, 1(3), 117-134. https://doi.org/10.32604/jbd.2019.08454
Abstract
In order to study deeply the prominent problems faced by China’s clean
government work, and put forward effective coping strategies, this article analyzes the
network information of anti-corruption related news events, which is based on big data
technology. In this study, we take the news report from the website of the Communist
Party of China (CPC) Central Commission for Discipline Inspection (CCDI) as the
source of data. Firstly, the obtained text data is converted to word segmentation and stop
words under preprocessing, and then the pre-processed data is improved by vectorization
and text clustering, finally, after text clustering, the key words of clean government work
is derived from visualization analysis. According to the results of this study, it shows that
China’s clean government work should focus on ‘the four forms of decadence’ issue, and
related departments must strictly crack down five categories of phenomena, such as
“illegal payment of subsidies or benefits, illegal delivery of gifts and cash gift, illegal use
of official vehicles, banquets using public funds, extravagant wedding ceremonies and
funeral”. The results of this study are consistent with the official data released by the
CCDI’s website, which also suggests that the method is feasible and effective.
Keywords
Cite This Article
W. Jiang, T. Yang, G. Sun, Y. Li, Y. Tang
et al., "The analysis of china’s integrity situation based on big data,"
Journal on Big Data, vol. 1, no.3, pp. 117–134, 2019.