Text Summarization Using Hybrid Parallel Genetic Algorithm

Xin Lai Tang; Xiao Rong Wang

doi:10.4028/www.scientific.net/AMR.271-273.154

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 271-273Text Summarization Using Hybrid Parallel Genetic...

Text Summarization Using Hybrid Parallel Genetic Algorithm

Abstract:

This paper proposes a special Chinese automatic summarization method based on Concept-Obtained and Improved K-means Algorithm. The idea of our approach is to obtain concepts of words based on HowNet, and use concept as feature, instead of word. We use conceptual vector space model and Improved K-means Algorithm to form a summarization. Experimental results indicate a clear superiority of the proposed method over the traditional method under the proposed evaluation scheme.

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Periodical:

Advanced Materials Research (Volumes 271-273)

Pages:

154-157

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.271-273.154

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Online since:

July 2011

Authors:

Xin Lai Tang, Xiao Rong Wang

Keywords:

Concept-Obtained, Improved K-Means Algorithm, Summarization

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References

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