Paper Title:
Research of Text Topic Automatic Extraction Method Based on Rough Set Theory
  Abstract

On the base of researching currently popular text topic extraction technologies, a new text topic automatic abstracting method is proposed based on rough set theory and rough similarity. Firstly it separated a text into words and sentences to complete information segmentation, and then constructed a similarity matrix by computing the rough similarity between different words to realize the text clustering, finally extracted representative sentences from each class to generate the text topic. The experiment shows that the method is feasible and effective.

  Info
Periodical
Advanced Materials Research (Volumes 268-270)
Edited by
Feng Xiong
Pages
1127-1131
DOI
10.4028/www.scientific.net/AMR.268-270.1127
Citation
Z. F. Sun, K. J. Bao, "Research of Text Topic Automatic Extraction Method Based on Rough Set Theory", Advanced Materials Research, Vols. 268-270, pp. 1127-1131, 2011
Online since
July 2011
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Price
$32.00
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