基于决策树的网络伪舆情识别研究  

Detect of Internet Fake Public Opinion Based on Decision Tree

作　　者：赵静娴[1] 

机构地区：[1]天津科技大学经济与管理学院,天津300222

出　　处：《现代图书情报技术》2015年第6期78-84,共7页New Technology of Library and Information Service

摘　　要：【目的】针对舆情的识别问题,提出一种基于组合优化决策树的伪舆情识别方法。【方法】在特征分析的基础上,给出A、B、C三类伪舆情的定义。构建伪舆情评价指标体系,并通过对评价指标离散化,以归一输入输出关联值为属性选择标准建立决策树。【结果】基于Matlab实现,通过实验证明利用组合优化决策树所构建的伪舆情识别模型能够达到较高的预测准确率。【局限】模型和数据偏重固定网络媒介,移动社交软件等新兴网络媒介的兴起可能改变伪舆情特征,从而需要对方法做进一步改进。【结论】提供一种对多分类伪舆情进行智能识别的新方法。[Objective] A method to detect Internet fake public opinion based on combined optimization decision tree is proposed. [Methods] It gives three definitions of fake public opinion based on the analysis of characteristics, namely A, B and C. Evaluation index is constructed and decision tree is established by discretization, attributes selection of normalization input-output correlation value. [Results] The test on Matlab shows the model based on combined optimization decision tree has higher predict accuracy. [Limitations] The model and data focus on network media. The rise of mobile social software may change the features of fake public opinion which needs further improvement to the method. [Conclusions] The paper proposes a new method for intelligent multiple classification of fake public opinion.

关 键 词：伪舆情 评价指标 数据挖掘 决策树 

分 类 号：G206[文化科学—传播学]