非常规突发事件网络舆情热度评价体系构建——基于BP神经网络算法(英文)

被引：19

作者：

张一文 ^{[1
]}

齐佳音 ^{[1
]}

方滨兴 ^{[2
]}

李欲晓 ^{[3
]}

机构：

[1] School of Economics and Management,Beijing University of Posts and Telecommunications

[2] School of Computing,Beijing University of Posts and Telecommunications

[3] School of Humanities,Beijing University of Posts and Telecommunications

来源：

中国通信 | 2011年 / 8卷 / 02期

关键词：

D O I：

暂无

中图分类号：

TP393.09 [];

学科分类号：

摘要：

Because unexpected emergency owns the characteristics of explosive,uncertain evolution direction and group diffusion,more and more researchers concentrate on and try to control it. In addition,considering the force of network,the information of the unexpected emergency will be spread and enlarged rapidly on internet. It is a new viewpoint using the indicator system to estimate the heat degree of net-mediated public opinion on unexpected emergency,which can reveal the underlying reasons about the formation of the heat degree. Moreover,we use BP(Back Propagation) neural network method instead of traditional subjective weight assignment to calculate the weights of the indicators which can make evaluation results more accurate and objective.

引用

页码：42 / 51

页数：10