# Insight into policy decision-making trends through big data analysis Understanding the government's decision-making process requires comprehensive analysis methods, and big data technology provides some possible research paths. The following are some feasible analysis methods： ## Public data analysis method -**Text mining of government public documents**: Analyze the frequency, semantic changes and expression intensity of keywords in government work reports, meeting minutes and policy texts -**Sentiment analysis of official media reports**: Track changes in the length, location, and tone of official media reports on specific topics - **Budget and financial data analysis**: Study resource allocation patterns and discover actual government priorities -**Personnel appointment and mobilization data**: Analyze the relevance of leaders' background, professional field and policy direction ## Indirect data analysis method -**Social media response monitoring**: Observe the public response after the policy test -**Analysis of industry and market behavior**: Research on investment patterns and changes in corporate behavior in specific industries -**Cross-verification of multi-source data**: Correlation analysis based on economic indicators, social indicators, and timeline of political events When using these methods, attention needs to be paid to data limitations, the verification of analytical models, and the complexity of the policy formulation process. The analysis results can only provide a reference for decision-making trends, not the exact internal decision-making process.