一种模仿人类的自动文本分类算法 [推广有奖]

摘要：An algorithm of text classification is given that imitates human's in this paper. On one hand, the algorithmenhances weight of theme when feature vector is processed, because of the assumption that the title of a document canproject its content. On the other hand,a weight parameter o vector is designed to simulate human's skimming andskipping behavior for calculating method of a document cluster center, and a weight of the feature that there are morepositive examples than negative ones is enhanced . The experiment shows that the algorithm greatly improves the per-formance of a text classification system.

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