News mining and fusion in web big data

With the wide application of web big data, in response to the Internet users are about the same theme of mass information effectively filter and extraction, this paper focus on this news mining and fusion of large scale usage data in web big data and proposes a document based on particle size of the news MGNF fusion algorithm, particle size document means that face now the newest microblog and short documents and traditional news dissemination documents, both document length although different, but as based on the calculation of grassroots journalism and communication mode. Through mining the different particle size of the document different views, we can find out the potential to be found for the information. The experimental results verify the effectiveness and energy cost efficiently of the proposed algorithm. © Sila Science. All Rights Reserved.