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.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Y. R. Huang, J. Lin, Y. Y. Wang, et al. “Forecast of fossil fuel demand based on low carbon emissions from the perspective of energy security,” Chemistry and Technology of Fuels and Oils, 2022, 58(6), 1075-1082.
Y. R. Huang, D. Han. “Analysis of china’s oil trade pattern and structural security assessment from 2017 to 2021,” Chemistry and Technology of Fuels and Oils, 2022, 58(1),146-156.
G. Yu, C. P. Zhang. “Evaluation of the global energy security situation in 2022- main perspectives of the global energy security report,” International Petroleum Economy, 2023, 31(02), 1-6+83.
M. Bazilian, M. Bradshaw, A. Golethau, et al. “Model and manage the changing geopolitics of energy,” Nature, 2019, 569(7754), 29-31.
X. Y. Guo, L. B. Zhang, W. Liang, et al. “Risk identification of third-party damage on oil and gas pipelines through the Bayesian network,” Journal Of Loss Prevention in the Process Industries, 2018, 54, 163-178.
W. C. Huang, B. Shuai, Y. Shen. “Using growth curves model to analyse the prospects of China-Pakistan oil and transportation corridor,” The Process Industries, 2022, 37(1), 28-36.
S. T. Shutters, K. Waters, R. Muneepeerakul. “Triad analysis of global energy trade networks and implications for energy trade stability,” Energies, 2022, 15(10), 3673.
F. Taghizadeh-Hesary, E. Rasoulinezhad, N. Yoshino, et al. “Determinants of the Russia and Asia-pacific energy trade,” Energy Strategy Reviews, 2021, 38, 100681.
J. R. Yan, Y. Zhao, P. P. Cui, et al. “Analysis of the spatiotemporal pattern evolution of China’s crude oil import trade from the perspective of oil security,” Economic Geography, 2020, 40(11), 112-120.
H. W. Zhang, Y. Wang, C. Yang, et al. “The impact of country risk on energy trade patterns based on complex network and panel regression analyses,” Energy, 2021, 222, 119979.
Q. Q. Wang, C. B. Li. “Evaluating risk propagation in renewable energy incidents using ontology-based Bayesian networks extracted from news reports,” International Journal of Green Energy, 2021, 19(12), 1290-1305.
L. T. Zhao, S. Q. Guo, Y. Wang. “Oil market risk factor identification based on text mining technology,” Energy Procedia, 2019, 158, 3589-3595.
L. T. Zhao, L. N. Liu, S. Q. Guo. “Analysis of the timeliness of oil market risks based on text mining,” China Energy, 2019, 41(06), 16-19+26.
B. Wang, Z. H. Wang. “Heterogeneity evaluation of China’s provincial energy technology based on large-scale technical text data mining,” Journal of Cleaner Production, 2018, 202, 946-958.
Y. R. Huang, R. Wang, B. Huang, et al. “Sentiment classification of crowdsourcing participants’ reviews text based on LDA topic model,” IEEE Access, 2021, 9(1), 108131-108143.
Y. R. Huang, X. L. Wang, R. Wang, et al. “Analysis and recognition of food safety problems in online ordering based on reviews text mining,” Wireless Communications and Mobile Computing, 2022, 1-15.
F. Altuntas, M. S. Gok. “Technological evolution of wind energy with social network analysis,” Kybernetes, 2021, 50(5), 1180-1211.
J. Hamilton, B. Hogan, K. Lucas, et al. “Conversations about conservation? Using social network analysis to understand energy practices,” Energy Research & Social Science, 2019, 49, 180-191.
C. X. Zhai. S. Massung. “Text data management and analysis,” Industrial Machinery Press, 2019, 192-198.
Economic Daily. “China economic review: the “fracture” and “stitch” of global energy security,” Retrieved March 24, 2023, from https://baijiahao.baidu.com/s?id=1757338792924065917&wfr=spider&for=pc
Acknowledgments
This work was supported by the National Natural Science Foundation of China under Grant 72101235; Soft Science Project of Zhejiang Provincial Department of Science and Technology under Grant 2023C35012; the State Scholarship Fund under Grant 202108330330; Basic Public Welfare Research Project of Zhejiang Province under Grant LGF22F020020; Zhejiang Higher Education Association under Grant KT2022001; Cultivation Project of Water Conservancy Digital Economy and Sustainable Development Soft Science Research Base under Grant xrj2022018; Scientific Research Foundation of Zhejiang University of Water Resources and Electric Power under Grant xky2022051.
Author information
Authors and Affiliations
Corresponding authors
Additional information
Translated from Khimiya i Tekhnologiya Topliv i Masel, No. 2, pp. 121–125 March– April, 2023.
Rights and permissions
Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
About this article
Cite this article
Huang, Y., Han, D., He, Z. et al. Research to Identify Factors Influencing the Country’s Energy Security Based on Text Data Mining Technology. Chem Technol Fuels Oils 59, 394–403 (2023). https://doi.org/10.1007/s10553-023-01539-z
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10553-023-01539-z