Design of Public Opinion Research and Judgment System for Network Hot Events Based on Data Mining Technology

The traditional network hot event public opinion research and judgment system in the face of excessive operating pressure, there are a large number of blank database connections, leading to the quality of the system running worse and worse. In order to solve this problem, this paper proposes the design of network hot event public opinion research and judgment system based on data mining technology. In hardware design, the serial communication module is designed. With the support of embedded processor, it is combined with the designed Ethernet transceiver to realize real-time communication; In the software design, it collects public opinion data, uses data mining technology to find network hot events, calculates the public opinion level of hot events, and designs corresponding early warning function to realize the judgment of public opinion. So far, the overall design of the system is completed. The experimental results show that: in the case of increasing operating pressure, the designed public opinion research and judgment system based on data mining has high operating efficiency, good public opinion recognition ability, and high operating quality.