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Chemistry and Technology of Fuels and Oils
Erschienen in: Chemistry and Technology of Fuels and Oils 2/2023

09.06.2023 | INNOVATIVE TECHNOLOGIES OF OIL AND GAS

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

verfasst von: Yanrong Huang, Dan Han, Zhiyi He, Zhan Zheng, Bo Wei

Erschienen in: Chemistry and Technology of Fuels and Oils | Ausgabe 2/2023

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Abstract

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.
Vorheriger Artikel Prediction Plugging Material Formulation on Using Neural Networks
Nächster Artikel Optimization of Main Functional Groups of High Efficiency Hydration Inhibitors in Shale Based on Quantum Mechanical Simulation

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Metadaten
Titel
Research to Identify Factors Influencing the Country’s Energy Security Based on Text Data Mining Technology
verfasst von
Yanrong Huang
Dan Han
Zhiyi He
Zhan Zheng
Bo Wei
Publikationsdatum
09.06.2023
Verlag
Springer US
Erschienen in
Chemistry and Technology of Fuels and Oils / Ausgabe 2/2023
Print ISSN: 0009-3092
Elektronische ISSN: 1573-8310
DOI
https://doi.org/10.1007/s10553-023-01539-z

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