Design And Implementation Of The Discover Of Visual System Based On The Hot Event Of Weibo

This is an information-overloaded era.It is difficult for people to figure out regular pattern from the mass of unprocessed data.That means we cannot take advantage of the value of data.With the development of the Internet,informatization has appeared in every corner of society,the application of big data visualization also changes the way of human reading and understanding of information.Data visualization with graphical means clearly and effectively communicate the information at the same time interactively analyze data to help users to get a more comprehensive understanding of the data.Weibo event analysis system is a big data analysis system,it can generate and analyze massive data and then use chart to display them,so that the hidden information can be displayed with chart.User can understand the content characteristics,distribution and dissemination of the hot events,which also has a guiding significance on the social media marketing.Based on the visualization of big data,this paper designs and realizes the acquisition and analysis of Weibo information.The client is built by YAF framework,using PHP as the background language to achieve most of the logic,the development environment uses a stable WAMP integration environment,the database is based on MYSQL and uses mysqli connection,and uses Echarts components for visualization at front end.This system mainly captures the blog posts,comments and users base on the keywords of Weibo hot events,and aggregate the information with various dimensions,then analysis can be completed after the analysis of blog and comment,you can also view user analysis.Because of the huge amount of users of Weibo,it has a great effect on the orientation of public opinion,so it is of great significance to both the society and the government.