Analysis and Design of an Online Data Collection Scheme Based on Campus Public Opinion Monitoring System

Abstract

The network data collection module is critical to the monitoring system of the public opinion on campus. To optimize the effect of network data collection, this study carried out comparative analysis on several different network data collection schemes, and formulated a data collection and filtering scheme based on the Libnids library. To improve the data collection performance, a multi-process pseudo-distributed processing scheme was prepared under multi-core CPU and the Linux framework. Finally, the proposed scheme was proved feasible and valuable in application based on campus public opinion monitoring system.