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In view of ignoring semantic relationship between words, high dimensionality of data and computational complexity when current text clustering algorithms deal with Chinese texts. This paper presents a new method to cluster Chinese texts based on semantics in a specific field-TCBS (Text Clustering Based on Semantics) algorithm. The algorithm is based on the agglomerative hierarchical clustering algorithm,...
Text similarity counting has been widely used in several fields. This paper proposes a sentence similarity based on ontology algorithm .With the study of sentence similarity, this paper improves a new sentence similarity computation method based on similarity word pair. Counting similarity between key words in the sentences through Ontology. The method makes the similarity of words level in the sentence...
Fast, effective text clustering has been playing an important role in organizing web text information. Due to its self-organization, robustness, flexibility, and visualization, the ant-based clustering approach has been applied to text clustering. In this approach, however, the ant's moving is random, which leads to the convergence speed too slow. Aims at above mentioned problem, an ant-based fast...
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