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- W2392435908 abstract "Words are the basic elements of Chinese text,and Chinese language model plays a key role in Chinese text mining.Text classification is a data mining technology with high dimensions and most of the classifying algorithms are sensitive to the dimensions.As a result,the classification depends on the quantity of vocabularies.Besides,most of current Chinese language models are based on statistical theory,such as N-gram model and other improved models.However,these statistical models are disadvantaged with computational complexity.In order to improve the quantity and efficiency,this paper gave Chinese words a new definition based on association rules,and proposed the Auto-word algorithm,by which a word vocabulary is constructed automatically and used for Chinese text mining.Finally,the efficiency of the Auto-word algorithm was proved by experiment." @default.
- W2392435908 created "2016-06-24" @default.
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- W2392435908 date "2014-01-01" @default.
- W2392435908 modified "2023-09-24" @default.
- W2392435908 title "Research and Application on Auto-word Building" @default.
- W2392435908 hasPublicationYear "2014" @default.
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