Web news summarization via soft clustering algorithm

  • Authors:
  • Jianwu Wu

  • Affiliations:
  • School of Politics & Law and Public Administration, Hubei University, Wuhan, China

  • Venue:
  • FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 7
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

As the information available on the internet is growing explosively, this paper proposed a new method of web news summarization via sentence clustering algorithm. It adopted cluster algorithm to cluster all the sentences. Feature fusion will be used to extract summary sentences. Experimental result shows that the proposed summarization method can improve the performance of summary.