%A Zhao Jingxian %T Detect of Internet Fake Public Opinion Based on Decision Tree %0 Journal Article %D 2015 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2015.06.12 %P 78-84 %V 31 %N 6 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4071.shtml} %8 2015-06-25 %X

[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.