@Article{jbd.2019.08454,
AUTHOR = {Wangdong Jiang, Taian Yang, Guang Sun, Yucai Li, Yixuan Tang, Hongzhang Lv, Wenqian Xiang},
TITLE = {The Analysis of China’s Integrity Situation Based on Big Data},
JOURNAL = {Journal on Big Data},
VOLUME = {1},
YEAR = {2019},
NUMBER = {3},
PAGES = {117--134},
URL = {http://www.techscience.com/jbd/v1n3/38303},
ISSN = {2579-0056},
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.},
DOI = {10.32604/jbd.2019.08454}
}