Design of Visual Model and Solutions for Public

Design of Visual Model and Solutions for Public Opinion Monitoring and Analysis for Big Data Abstract Miaoji Tang Library of Guangdong Construction Polytechnic Guangzhou 510440, China e-mail: tangmiaoji@126. Com 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-dimensions to formulate a modelling plan. Select static data and multi-view associated interaction as the presentation form of the visual solution. Text Driven by the rapid and innovative development of modern information technology represented by big data technology, cloud computing technology, and data mining technology, the efficiency and quality of information interaction have undergone a qualitative change. The emergence of big data technology has brought a more efficient and reliable tool for complex data analysis and processing, and realized the transformation of the basis of data analysis from partial samples to overall data. Different from traditional statistical dose models, data analysis based on big data technology provides a new type of data model as well as processing method, which focuses on unstructured data while analyzing and processing structured data, and adopts a special dimensionality reduction analysis mode for data through data mining technology to reduce its scale while retaining data characteristics, thereby significantly improving the efficiency level of data analysis and processing. However, most of the above-mentioned big data analysis and processing technologies use abstract models as the result output form, which will lead to greater difficulties in result recognition and application. In order to solve this problem, the visual analysis theory was proposed. This paper focuses on the development trend of public opinion information management, introduces the visual cognitive theory model into the government public opinion information service, and starts with the visualization of public opinion monitoring and analysis as the core of public opinion information management, striving to thoroughly think and study the visualization of government public opinion monitoring and analysis as a whole, and achieve breakthroughs in related research in the field of government public opinion monitoring and analysis visualization. Figure 1 The visual concept system of government public opinion monitoring and analysis. Figure 2 Flow chart of visual model design. Figure 4 Visualization plan for public opinion monitoring and analysis on theme of "new crown pneumonia" in April 2020. For the visual scheme design of the government's public opinion monitoring and analysis, the specific meaning of interaction is as follows: direct information exchange can be achieved between single text and text; when dealing with the page interaction behavior of multiple graphs, the visualization content of different graphs is the same data source, and the operation behavior of any graph can affect the information content of the same data source corresponding to all charts. After the multi view Association completes the data filtering, the display results of specific charts will change, and the display results of other related charts will also change accordingly, thus showing interactive change relationship characteristics. In the design field of government public opinion monitoring and analysis system, the visual scheme design can display and output the public opinion monitoring information more intuitively and accurately based on specific conditions, and can also cancel the correlation between the target chart and the associated chart according to the needs of public opinion, so as to avoid the adverse impact of interactive function on the display output results. At the same time, the multi view associated data filtering function of static data can significantly improve the pertinence of public opinion information analysis, processing and display, so as to better meet the application requirements of public opinion monitoring, and fully ensure the quality of public opinion information service. Conclusion With the development of computer technology and we media, the collection and accumulation of public opinion data resources, in-depth mining, visualization and other application processes have become the main way of public opinion information management. Focusing on the specific needs of public opinion information analysis and aiming at the characteristics of government public opinion service, the design of public opinion monitoring and analysis visualization system can provide a more comprehensive and intuitive public opinion analysis visualization tool, which is the development trend of government public opinion service in the future. In this paper, on the basis of clarifying the relevant theoretical content, combined with the public opinion application requirements, the overall design of the public opinion monitoring and analysis visualization system is completed, which fully embodies the advantages of the visualization system, and also makes theoretical and practical preparations for the government public opinion information service to move towards the comprehensive visualization of public opinion service.