Page 166 - AJWEP-22-5

Li and Wu

Figure 4. Clustering of latent Dirichlet allocation themes for emission and carbon reduction support policies
(2019 – 2021)
Abbreviation: PC: Principal component.

Figure 5. Clustering of latent Dirichlet allocation themes for emission and carbon reduction support policies
(2022 – 2023)
Abbreviation: PC: Principal component.

visualization to extract and analyze core content related industrial development. The findings are summarized
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to China’s emission and carbon reduction policies. as follows:
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By clustering policy themes across three time phases (i) The development trend of key emission and carbon
and identifying representative keywords, it provides reduction themes demonstrates evident shifts and
effective analytical support for policy assessment and identifiable categorization characteristics. In the

Volume 22 Issue 5 (2025) 160 doi: 10.36922/AJWEP025160117