High Quality Algorithm for Chinese Short Messages Text Clustering Based on Semantic

Feng Xia Yang

doi:10.4028/www.scientific.net/AMR.756-759.3341

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 756-759High Quality Algorithm for Chinese Short Messages...

High Quality Algorithm for Chinese Short Messages Text Clustering Based on Semantic

Abstract:

Existing data clustering method lacks considering of latent similar information existing among words,and it leads to unsatisfactory clustering result.Aiming at Chinese short message text clustering,this paper proposes a clustering algorithm based on semantic.It offers Chinese concept,and the measuring methods to calculate the similarity degree about words and Chinese short message text.It completes the clustering of Chinese short messages text through fission downwards and mergence of twos upwards.Experimental results show that this algorithm has better clustering quality than traditional algorithm.

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Periodical:

Advanced Materials Research (Volumes 756-759)

Pages:

3341-3345

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.756-759.3341

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Online since:

September 2013

Authors:

Feng Xia Yang

Keywords:

Concept Similarity, Semantic, Short Messages Text

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