1. Data collection subsystem: responsible for collecting relevant educational public opinion information from the Internet, including but not limited to news, forums, post bars, Weibo, WeChat and other platforms. Public opinion will capture the education-related public opinion data on these platforms in real time through crawler technology and API interface.
2. Data processing subsystem: responsible for cleaning, analyzing and mining the collected public opinion information and extracting valuable educational public opinion information. The data processing subsystem of lyrics will process the lyrics information through natural language processing, emotion analysis and other technologies to facilitate the subsequent data display and analysis.
3. Data display subsystem: responsible for displaying the processed educational public opinion information to users in the form of charts and reports. The data display subsystem of public opinion link provides rich visualization functions, and users can intuitively understand the development trend and hot topics of educational public opinion through various charts and reports.
To sum up, the framework of education public opinion monitoring system includes three parts: data acquisition subsystem, data processing subsystem and data display subsystem. Taking Xiaoying's public opinion as an example, these three subsystems are responsible for the collection, processing and display of educational public opinion information respectively.