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- W2783048314 abstract "This study proposes a new method which is short Chinese text classification based on correlation analysis. Through the association rules mining of words in short texts, using correlation groups to build a thesaurus, then repeat modifying the support level of correlation groups by training. To build the system, we focus on the semantic information of the correlation groups, to classify short texts by matching correlation groups. The results of the experiment show that proposed method is a fast and effective classification method." @default.
- W2783048314 created "2018-01-26" @default.
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- W2783048314 date "2017-10-01" @default.
- W2783048314 modified "2023-09-25" @default.
- W2783048314 title "Short Chinese text classification based on correlation analysis" @default.
- W2783048314 doi "https://doi.org/10.1109/icts.2017.8265681" @default.
- W2783048314 hasPublicationYear "2017" @default.
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