Using big data analysis technology to infer the inside story of government decision-making can be done in the following ways: 1. **Data collection and integration**: First, it is necessary to collect a variety of data sources related to government decision-making, including policy documents, department reports, public opinions, social media comments, news reports, etc. Through data integration, data from different sources are combined to provide a more comprehensive perspective for analysis. 2. **Text analysis and sentiment analysis**: Using natural language processing (NLP) technology, text analysis of policy documents and public comments is performed to extract keywords, topics, and sentiment tendencies. This can help analyze the public's response to policies and the focus of decision makers in the policy-making process. 3. **Association rule analysis**: By mining association rules in the data, the relationship between different policies or the potential connection between changes in certain socioeconomic indicators and government decisions is identified. This helps understand the background and motivation of policy making. 4. **Public opinion monitoring**: Using data from social media and news platforms, real-time monitoring of changes in public opinion is carried out to analyze the impact of different events on policy decisions. This can be achieved through sentiment analysis and public opinion trend maps. 5. **Prediction model**: Construct a prediction model and use historical data to predict the possible direction of government decisions. Through machine learning algorithms, decision-making patterns and potential influencing factors can be identified. 6. **Simulation and scenario analysis**: Use big data for scenario modeling, simulate different decision paths and possible outcomes, and analyze the impact of policy choices. This approach can help decision makers evaluate the pros and cons of various policy options. 7. **Visualization analysis**: Visualize the analysis results to help understand complex data relationships and trends, making the decision-making process more transparent and conducive to the understanding and participation of the public and relevant stakeholders. Through the above methods, the inside story and logic behind government decisions can be inferred to a certain extent, but it should be noted that the government decision-making process is complex and changeable, and is affected by many factors. Big data analysis alone may not be able to fully reveal its full picture.