Text Clustering Algorithm of Co-Occurrence Word Based on Association-Rule Mining

Chun Xia Jin; Hui Zhang; Qiu Chan Bai

doi:10.4028/www.scientific.net/AMM.599-601.1749

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 599-601Text Clustering Algorithm of Co-Occurrence Word...

Text Clustering Algorithm of Co-Occurrence Word Based on Association-Rule Mining

Abstract:

According to the analysis of text feature, the document with co-occurrence words expresses very stronger and more accurately topic information. So this paper puts forward a text clustering algorithm of word co-occurrence based on association-rule mining. The method uses the association-rule mining to extract those word co-occurrences of expressing the topic information in the document. According to the co-occurrence words to build the modeling and co-occurrence word similarity measure, then this paper uses the hierarchical clustering algorithm based on word co-occurrence to realize text clustering. Experimental results show the method proposed in this paper improves the efficiency and accuracy of text clustering compared with other algorithms.

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Periodical:

Applied Mechanics and Materials (Volumes 599-601)

Pages:

1749-1752

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.599-601.1749

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Online since:

August 2014

Authors:

Chun Xia Jin*, Hui Zhang, Qiu Chan Bai

Keywords:

Co-Occurrence Word, Hierarchical Clustering, Relation Rules

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* - Corresponding Author

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