Open Access

ARTICLE

The Analysis of China’s Integrity Situation Based on Big Data

by Wangdong Jiang, Taian Yang, Guang Sun, Yucai Li, Yixuan Tang, Hongzhang Lv, Wenqian Xiang

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.

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Keywords

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