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Latent Dirichlet Allocation(LDA) does not consider the input feature selection. The topic of each word is allocated by LDA in original feature space, which contains many insignificant words and affects quality of topics. In this paper, we proposed a feature selection method based on Genetic Algorithm(GA), which reduces the dimension of LDA input features and makes the generated topic more meaningful...
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