基于LDA模型的新能源汽车政策文本量化分析
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Quantitative Analysis of New Energy Vehicle Policy Text Based on LDA Model
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    摘要:

    运用潜在狄利克雷分配模型(LDA)进行主题挖掘,以国家和中部六省两个层级的144个新能源汽车相关政策作为研究对象,从高频词汇、主题强度及年度变化等方面进行量化分析。结果表明国家层级主题主要是节能发展、动力蓄电池回收等,从绿色发展的整体角度推动发展;中部六省层级的主题主要是设施建设和财政补贴等,更注重从基础保障方面推进;新能源汽车产业政策体系较为完善,但是层级间政策存在互动性不足、忽视传导渗透作用等问题。

    Abstract:

    Latent Dirichlet Allocation model is used to mine the theme, 144 new energy vehicle related policies at two levels of the state and six provinces in the central region are taken as the research objects. And a quantitative analysis is made in terms of high-frequency vocabulary, theme intensity and annual changes of hot themes. The results show that the national level themes are mainly energy-saving development, power battery recovery, etc.; the themes of the six central provinces are mainly public facilities construction and financial subsidies; the national level promotes the development from the overall perspective of green development and energy conservation and environmental protection, while the central six provinces pay more attention to the promotion of financial subsidies; the new energy vehicle industry policy system is relatively perfect, but the hierarchical politics There are some problems such as lack of interaction and neglect of conduction and penetration.

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赵公民,吕京芹,武勇杰.基于LDA模型的新能源汽车政策文本量化分析[J].科技与产业,2021,21(01):49-55

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  • 在线发布日期: 2021-03-09
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