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

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.