Micro-Blog Public opinion monitoring system based on Hadoop
Chen Yanzhou Cao Jinxuan
With the rapid development of online social networks such as social networking sites, micro blogs and online communities, a truly two-way communication and new media era has evolved. Online social networks allow each user to create their own content and spread it quickly. According to incomplete statistics, Sina Weibo average of more than 1000 per second of new micro-blog production, daily incremental data of 5TB, so massive data to the public opinion monitoring brought serious challenges. Will introduce a micro-blog public opinion monitoring system based on Hadoop, it can excavate and analyze large-scale collection data, realize the discovery and tracing of hot topic of public opinion, analyze the social network of Weibo, analyze the results visually, and find sensitive information, grasp the hot spots To grasp the trend of public opinion and to provide automatic, systematic and scientific information support to the crisis.
Micro-Blog Public opinion monitoring system based on Hadoop