Research to Identify Factors Influencing the Country's Energy Security Based on Text Data Mining Technology

被引：1
|
作者：
Huang, Yanrong [1 ,2 ]
Han, Dan [3 ]
He, Zhiyi [1 ]
Zheng, Zhan [4 ]
Wei, Bo [5 ]
机构：
[1] Zhejiang Univ Water Resource & Elect Power, Coll Econ & Management, Hangzhou, Peoples R China
[2] Zhejiang Univ Water Resource & Elect Power, Res Ctr Digital Econ & Sustainable Dev Water Resou, Hangzhou, Peoples R China
[3] Hangzhou Vocat & Tech Coll, Hangzhou, Peoples R China
[4] Wuhan Text Univ, Wuhan, Peoples R China
[5] Zhejiang Sci Tech Univ, Sch Comp Sci & Technol, Hangzhou, Peoples R China
来源：
CHEMISTRY AND TECHNOLOGY OF FUELS AND OILS | 2023年 / 59卷 / 02期
基金：
中国国家自然科学基金;
关键词：
energy security; text mining; influence factors; identification; OIL; IDENTIFICATION;
D O I：
10.1007/s10553-023-01539-z
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Energy security is a global and strategic national economic and social development issue. It is one of the most urgent challenges in global development. This study takes China as an example to identify the influencing factors of energy security comprehensively. Using natural language processing, social network analysis, and machine learning methods to mine the authoritative media network news text to identify the influencing factors of energy security and their relationships more objectively, comprehensively, and accurately. Seven major energy security themes are proposed. This study provided a reference for risk management and establishing an energy security prediction and early warning mechanism.
引用
收藏
页码：394 / 403
页数：10
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