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By using the non-linear operators (such as Isomap, WordNet etc.), how to promote the traditional text information processing techniques to ＇understanding＇ level was discussed. Based on manifold analysis, the distribution of Chinese words in a continuous semantic space was primarily studied. Short messages clustering based on WordNet was investigated. Experimental results prove that these methods can reflect the internal relation of texts.
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