网络热门话题的跟踪建模与检测分析Tracking modeling and detection analysis of network hot topics
李晶
摘要(Abstract)：
网络热门话题的跟踪对社会稳定、国家安全具有重要作用,针对传统网络热门话题跟踪模型误差大的缺陷,提出改进神经网络的网络热门话题的跟踪和检测模型。首先对网络热门话题的跟踪和检测现状进行分析;然后收集网络热门话题相关数据,采用神经网络对网络热门话题的跟踪进行建模,实现网络热门话题的检测,并对神经网络的局限性进行改进;最后采用具体网络热门话题的跟踪和检测实验对模型的有效性进行测试,与其他网络热门话题的跟踪和检测模型相比,改进神经网络提高了网络热门话题的跟踪精度,降低了网络热门话题的检测错误率,可以为网络舆情管理者提供可靠的信息。
关键词(KeyWords)： 网络热门话题;话题跟踪;话题检测;跟踪与检测模型;神经网络;检测错误率
基金项目(Foundation):
作者(Author): 李晶
DOI: 10.16652/j.issn.1004-373x.2018.03.030
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