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- W2383607730 abstract "In order to improve text classification accuracy,this paper proposed a text automatic categorization method based on ant colony algorithm and neural network. Firstly,it transformed the text feature selection into a multi-objective optimization problem,and took the feature dimension and the correct rate as a feature selection evaluation criteria,and used ant colony algorithm to solve the multi objective optimization problems to find the optimal feature subset,and then optimized the parameters of neural network by ant colony algorithm to establish the optimal text categorizer. The results show that the simulation experiment arry out on the text data,this proposed method not only can quickly find the optimal feature subset of text,but also improves the classification accuracy and efficiency." @default.
- W2383607730 created "2016-06-24" @default.
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- W2383607730 date "2014-01-01" @default.
- W2383607730 modified "2023-09-24" @default.
- W2383607730 title "Research of new feature selection based massive Web text mining algorithm" @default.
- W2383607730 hasPublicationYear "2014" @default.
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