Design of Visual Model and Solutions for Public Opinion Monitoring and Analysis for Big Data

摘要

Use the big data visual analysis perspective to examine the government's public opinion monitoring and analysis work, and solve the problem of public opinion service quality and efficiency improvement under the new situation. Through status analysis of public opinion monitoring and analysis subject, environment, means, presentation form, design visualization model and visualization scheme of government public opinion monitoring and analysis. The visualization concept system of government public opinion monitoring analysis includes four levels: mechanism level, model level, application level and support level. Taking the monitoring information as the information classification object, the single index driving force structural model is selected as the visual data structure expression model. Set the public opinion analysis index to the total amount of public opinion, the driving force of public opinion, the growth rate of public opinion, and the percentage. Through mathematical formulas, the total amount of public opinion and the driving force index are decomposed into the driving force, growth rate and percentage of the slave nodes according to the dimensions. The total amount of public opinion is superimposed on the decomposed first-dimension and second-dimension dimensions to formulate a modelling plan. Select static data and multi-view associated interaction as the presentation form of the visual solution.