期刊名称：International Journal of Emerging Technologies in Learning (iJET)
印刷版ISSN：1863-0383
出版年度：2021
卷号：16
期号：11
页码：174-188
DOI：10.3991/ijet.v16i11.23321
出版社：Kassel University Press
摘要：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.
关键词：Public opinion monitoring; data collection; Libnids library; pseudo-distributed processing
