Abstract: 【Purpose/significance】With the rapid development of the Internet and big data,massive amounts of network information have emerged.The integration and analysis of network public opinion information has become an important means to respond to the laws of user network behavior in a timely manner and optimize government decision-making【. Method/process】To this end,this article analyzes the concept and characteristics of big data and network public opinion based on the analysis of the current development,re⁃search significance and main research directions of online public opinion information integration.Based on this,the article takes the network public opinion information under the smart information service big data framework as the research object,combines log analy⁃sis and statistical analysis,and uses Awstats software big data integration technology to comprehensively analyze the main characteris⁃

tics of the relevant network public opinion; Further use the significance test method of regression coefficients to obtain the behavior patterns of network users and apply them to the optimization of government decision-making【. Result/conclusion】the empirical results show that the significance test result of the regression coefficient of descriptive analysis is lower than 0.05, the significance test result of the regression coefficient of inferential analysis is lower than 0.1, and the significance test value of the regression coefficient of corre⁃lation and cluster analysis is lower than 0.001, indicating that effective integrated analysis results of online public opinion can be ob⁃tained according to descriptive, inferential, correlation and cluster analysis, which can be applied to optimize government decisionmaking

【. Innovation/limitation】However,due to limited conditions,the integration method designed in this article is still insufficient in terms of integration efficiency.The future research direction can start from increasing the integration speed and enhancing the effect of public opinion information integration.terms of integration efficiency.The future research direction can start from increasing the integration speed and enhancing the effect of public opinion information integration.