针对词、潜在概念、文本和主题之间的模糊关系，提出一种基于信息论的潜在概念获取与文本聚类方法。

To emphasize the fuzzy relation among words, latent concepts, text and topics, an information theory based approach to latent concept extraction and text clustering is proposed.

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其目标是促进对于这些术语以及SOA上下文中的概念的理解，并且潜在的促进模型驱动的实现。

The objectives are to facilitate understanding of these terms and concepts within the context of SOA, and potentially to facilitate model-driven implementation.

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奥巴马做的只是反复重复“改变”这一信息，这使得潜在的选民将他和这一概念联系起来。

What Mr. Obama actually did was to repeat the "change" message over and over again, so that potential voters identified Mr. Obama with the concept.

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