Internet Public Opinion Monitoring Model Based on Cloud Computing

Abstract:

With the rapid development of online social networks, such as social network services, BBS, micro-blog and online community, et al., a two-way communication and new media age has been gradually coming. Each one can create their own content and publish the news quickly through online social networks on Internet. Thus, mass data has brought severe challenge to public opinion monitoring. As a kind of novel information computing model, cloud computing technology can effectively deal with the calculation and storage of mass data. In this paper, the public opinion monitoring model based on cloud computing environment is introduced, which can mine and analyze large scale collected data, realize detection and tracking of hot topics, perform social network analysis on the BBS and visualize the analysis results. The public opinion monitoring system based on cloud can provide timely sensitive information and deal with public crisis efficiently. Finally, the advantage is analyzed when cloud computing is applied to public opinion monitoring.

• Periodical: Applied Mechanics and Materials (Volume 404)
• Pages: 744-747
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.404.744
• Online since: September 2013
• Authors: Zhong Tang He, Xiao Qing Zhang, Feng Wei Zhao, Tong Kai Ji
• Keywords: Cloud Computing, Hadoop, HBase, MapReduce, Public Opinion Monitoring

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