Research on Anti-Corruption Public Opinion Data Analysis Technology Based on SPSS under "Internet plus " Environment

被引：0

作者：

Xue Qin ^{[1
]}

Zhang Jin ^{[1
]}

Fan Fangyu ^{[2
]}

机构：

[1] Hubei Univ Police, Gutian 3rd Rd, Wuhan 430034, Hubei, Peoples R China

[2] Huazhong Univ Sci & Technol, Luoyu St 1037, Wuhan 430074, Hubei, Peoples R China

来源：

PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON E-BUSINESS, INFORMATION MANAGEMENT AND COMPUTER SCIENCE | 2018年

关键词：

Anti-Corruption; Public opinion control; Data processing;

D O I：

10.1145/3210506.3210517

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

With the development and popularization of the Internet, the promotion of an ethical party and government has become more and more inseparable with the era. Faced with complicated information of anti-corruption, to effectively analyze these data and extract valuable information is of great significance. SPSS is a data mining analysis tool applied in this paper to help people analyze anti-corruption data. It starts with the research status of anti-corruption public opinion and the key technologies of public opinion analysis. Combined with related cases, it elaborates the anti-corruption situation based on SPSS under the "Internet+" environment through three aspects: data collection, statistics and data analysis. Finally, the paper concludes with the data analysis features of SPSS and its optimizations.

引用

页码：59 / 64

页数：6

共 42 条

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