一种模仿人类的自动文本分类算法

An Automatic Algorithm of Text Categorization Imitating Human's

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.

An algorithm of text classification is given that imitates human's in this paper. On one hand, the algorithm enhances weight of theme when feature vector is processed, because of the assumption that the title of a document can project its content. On the other hand, a weight parameter to vector is designed to simulate human's skimming and skipping behavior for calculating method of a document cluster center, and a weight of the feature that there are more positive examples than negative ones is enhanced . The experiment shows that the algorithm greatly improves the performance of a text classification system.