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The recognition of Chinese entertainment news words is an important task for Chinese information processing.
In order to solve the problem of recognizing the Chinese entertainment news words, a SVM-based method has been introduced
in this paper, which uses active leaning strategy. It selects new instances, incrementally, to be labeled and included
in its training set to form an incremental course of learning. The results of the test show that the method is efficient and
the precision and recall of entertainment news words recognition achieved are 78.92% and 86.42%, respectively. The
method in this paper has gained good effect.