Research on Belt and Road Big Data Visualization Based on Text Clustering Algorithm

Abstract

In the era of big data, people's visual needs for data expression are increasing. In order to achieve better big data display effects, this article introduced the use of text clustering algorithms to achieve data crawling and Echarts technology to realize big data visualization. This system used mvvm's architecture and vue framework development platform, ThinkPHP was used as the background framework, and ES6 related technologies and specifications were used for application development. This system used Echarts, IView, GIS technology and JavaScript development methods to demonstrate economic big data module functions on the web side; Applied CSS3, HTML5, GIS technology to implement project achievement module and university alliance module; Applied Echarts, HTML5, JS function library technology to achieve national information module. This system used stored procedure, database index optimization technology to achieve rapid screening of massive data, and dynamically update and displayed related data through two-way data binding. This system combined real-time location technology with GIS technology to measure the distance between the user and the destination, and automatically plan the tour route to provide related services. This system can provide feasibility suggestions for strategic researchers or experts in related areas of the “Belt and Road”, and provide theoretical basis and technical support.