Internet Public Opinion Hot Spot Mining Based on Voting Mechanism and MapReduce Platform

Abstract

In the era of big data, the value of Internet public opinion hot spot extraction is particularly prominent. In order to further develop the application value of Internet public opinion hot extraction, this paper constructs the Internet public opinion hot spot extraction framework, and puts forward an Internet public opinion hot spot extraction method VM-Rep based on voting mechanism and MapReduce framework. A heuristic algorithm based on voting mechanism is proposed for the hot spot of Internet public opinion, and MapReduce is used to improve the ability and efficiency of processing massive data. Experimental results show: VM-Rep’s coverage is significantly better than Top-k, K-means and Agglo, and the redundancy of VM-Rep is the least; VM-Rep takes the least time in the four methods, embodies the advantages of VM-Rep method for massive data.