An Ontology Based Model for Document Clustering
International Journal of Intelligent Information Technologies
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Text clustering as a method of organizing retrieval results can organize large amounts of web search into a small number of clusters in order to facilitate users’ quickly browsing. In this paper, we propose a text clustering method based on ontology which is different from traditional text clustering and can improve clustering results performance. This method implements word clustering by calculating word relativity and then implements text classification. Experiments show that the proposed method clustering trends to perform better than only single term frequency based method.