基于自然语言处理技术的中国氢能政策数据挖掘研究

Report to the 20th National Congress of the CPC emphasized the importance of working actively and prudently towardsthe goals of reaching peak carbon emissions and carbon neutrality, as well as speeding up the planning and development of a systemfor new energy sources. As a green and low-carbon secondary energy source, hydrogen energy has multiple applications in promotingthe large-scale and efficient use of renewable energy as well as energy substitution in the field of transportation. It can also acceleratedecarbonization in industry, and as such, is an indispensable part of building a new energy system, reaching peak carbon emissions andachieving carbon neutrality. This study takes 621 hydrogen energy policy documents issued by national and local government asresearch objects, designating to comprehensively study the hydrogen energy policy system. Based on policy informatics, this studyuses natural language processing technology to mine data deeply and draws on hydrogen energy policy element information and keydata indicators. It also combines content analysis, quantitative analysis and makes use of data visualization technology to study theevolution of hydrogen energy policy. It examines evolution trajectory of hydrogen energy policy, regional patterns of industry, theindustrial chain layout, and other characteristics. The research framework and analysis methods used herein can help improve thesystematization and timeliness of hydrogen energy policy research and proposes hydrogen energy policy suggestions to accelerate thedevelopment of hydrogen energy.