Information Mining Based on Multi-Granularity News Fusion

Abstract:

In response to the Internet users are about the same theme of mass information effectively filter and extraction, this paper 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 of the proposed algorithm.

• Periodical: Advanced Materials Research (Volumes 850-851)
• Pages: 592-595
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.850-851.592
• Online since: December 2013
• Authors: Wei Yu, Xiao Yue Tang, Lin Gan, Shi Jun Li, Yun Lu Zhang, Jun Wang
• Keywords: Micro Blogs, Multi-Granularity, News Fusion, Potential Information

References

[1] J. T. Yao: Journal of Intelligent Systems, vol. 17 (2008) no. 1-3, pp.267-281. (In Chinese).

[2] Robertson S: Jones K S Relevance weighting of search terms, (1976) no. 03, pp.31-39.

[3] Robertson S: On term selection for query expansion, (1990) no. 04, pp.123-130.

[4] Li Bing, He KeQing, Liu Jin, Li RuiXuan: Journal of Beijing University of aeronautics and astronautics. Vol. 30 (2004) No 11, pp.1048-1051. (In Chinese).