We propose a method of generating birthday couplets fitting to gender, age and birthday time. The work of this paper are as follows: Using memory mapping file to load large number of files which can significantly reduce the initializing time; Using the TFIDF method to train key words related age and gender; Using a dynamic Bi-gram graph model to generate the more semantically coherent left roll which can conversely alter the weights between words of the model.
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