Research on Network Public Opinion Analysis and Monitor Method Based on Big Data Technology

被引：249

作者：

Liu, Donglan ^{[1
]}

Zhang, Hao ^{[1
]}

Yu, Hao ^{[1
]}

Zhao, Xiaohong ^{[1
]}

Wang, Wenting ^{[1
]}

Liu, Xin ^{[1
]}

Ma, Lei ^{[1
]}

机构：

[1] State Grid Shandong Elect Power Res Inst, Jinan 250003, Shandong, Peoples R China

来源：

PROCEEDINGS OF 2020 IEEE 10TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC 2020) | 2020年

关键词：

public opinion analysis; unsupervised public opinion analysis; machine learning; big data technology;

D O I：

10.1109/iceiec49280.2020.9152232

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

At present, the use of public opinion analysis method to explore the feelings of users in comments has become one of the hot research topics, and has been applied in many business and public management fields, such as movie box office, stock trend prediction, public opinion monitoring in power sector, etc. Data mining and analysis based on big data technology is increasingly demanding, and the logical relationship of data processing is increasingly complex. How to analyze and mine network public opinion information in heterogeneous data environment has become a big challenge in data management, application and value mining. This paper summarizes and compares several mainstream public opinion analysis methods and their applications, including unsupervised public opinion analysis method and supervised public opinion analysis method, and introduces the application scenarios related to public opinion analysis. A network public opinion analysis system model based on big data technology is designed to provide important data support for network public opinion monitoring.

引用

页码：195 / 199

页数：5

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