Research of Text Topic Automatic Extraction Method Based on Rough Set Theory

Zhan Feng Sun; Kong Jun Bao

doi:10.4028/www.scientific.net/AMR.268-270.1127

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 268-270Research of Text Topic Automatic Extraction Method...

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.

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Periodical:

Advanced Materials Research (Volumes 268-270)

Pages:

1127-1131

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.268-270.1127

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Online since:

July 2011

Authors:

Zhan Feng Sun, Kong Jun Bao

Keywords:

Automatic Extraction Introduction, Rough Set (RS), Rough Similarity, Similarity Matrix, Text Topic

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