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基于灰色关联计算的网络民族舆情事件监测模型研究

发布时间:2018-02-10 22:22

  本文关键词: 数据处理 舆情监测 民族舆情 出处:《情报杂志》2017年12期  论文类型:期刊论文


【摘要】:[目的/意义]网络民族舆情监测工作需要面对数据量庞大、现场数据复杂等问题。针对这些问题,提出了基于灰色关联计算的网络民族舆情监测模型,给出了该模型的框架结构与功能模块,详述了其处理流程与相关算法,通过仿真试验验证和分析了模型的效能。[方法/过程]该模型针对监测系统的工作特点,采用分布式结构避免系统瓶颈,基于灰色关联计算方法,实现监测规则库与现场数据的深度匹配,并进行热点事件的细节刻画,最终实现网络民族舆情热点事件的预测和发现。[结果/结论]仿真试验结果证明,该模型具有较高的舆情监测覆盖度、较低的误检率和较高的服务器/终端处理性价比。
[Abstract]:[purpose / significance] the monitoring work of network national public opinion needs to face the problems of huge amount of data and complex field data. In view of these problems, a network national public opinion monitoring model based on grey correlation calculation is proposed. The frame structure and function module of the model are given, and its processing flow and related algorithms are described in detail. The effectiveness of the model is verified and analyzed by simulation experiments. [method / process] this model is aimed at the working characteristics of the monitoring system. The distributed structure is used to avoid the bottleneck of the system, and the depth matching between the monitoring rule base and the field data is realized based on the grey relational calculation method, and the details of the hot spot events are described in detail. Finally, the prediction and discovery of the hot events of network national public opinion are realized. [results / conclusions] the simulation results show that the model has higher coverage of public opinion monitoring, lower false detection rate and higher performance / price ratio of server / terminal processing.
【作者单位】: 西南民族大学计算机科学与技术学院;四川理工学院计算机学院;
【基金】:教育部人文社会科学基金项目“云计算环境下的海量资源部署与搜索策略研究”(编号:12YJAZH004) 四川省应用基础研究项目“大规模分布式存储系统体系结构研究”(编号:2013JY0041) 四川省高校重点实验室开放基金项目“基于物联网和云计算技术的智慧旅游系统研究与设计”(编号:2014WYY06)研究成果之一
【分类号】:C912.63;TP393.09


本文编号:1501579

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