%A Yang Aidong,Liu Dongsu %T Hadoop Based Public Opinion Monitoring System for Micro-blogs %0 Journal Article %D 2016 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2016.05.07 %P 56-63 %V 32 %N 5 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_4225.shtml} %8 2016-05-25 %X

[Objective] This paper presents a new model for public opinion monitoring system based on Hadoop to retrieve and analyze information from the micro-blog platforms. [Methods] We first surveyed the existing technology of the public opinion monitoring systems and proposed a new model with modified algorithm. Then, we built a big data analysis platform with Hadoop to examine the model’s feasibility through experimental simulations. [Results] The proposed model can detect and retrieve public opinion data effectively. [Limitations] The Hadoop cluster was relatively small. We did not compare our model with other clustering algorithms to discuss their advantages and disadvantages. [Conclusions] The proposed model can conduct public opinion analysis with micro-blog data and provide scientific information for the policy makers to improve crisis management.