Research on Internet Hot Topic Detection Based on MapReduce Architecture

摘要: Internet public opinion increasingly influences daily lives of peoples and social stability. With the development Internet, amount information on is huge updated quickly, which makes mining face enormous challenges in dealing with amounts complex data. This paper proposes an internet Hot Topic Detection scheme based cloud computing platform. The MapReduce programming model introduced into network analysis for processing massive, uses named entity words as text features, title body are combined two-dimensional VSM (vector space model) to represent text, improve accuracy system response speed.