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- W2944335936 abstract "In order to quickly provide a large number of short text themes, an improved linear discriminant analysis (LDA) topic mining algorithm is proposed in this paper. Firstly, the acquisition method of obtaining the traditional short text themes is first analyzed. Focusing on the shortcomings of the original algorithm, the improvement process of the improved topic mining algorithm based on LDA is introduced. Finally, through the mining of short text themes by college students as an example, the improved LDA algorithm is improved in the accuracy of short text processing." @default.
- W2944335936 created "2019-05-16" @default.
- W2944335936 creator A5051363890 @default.
- W2944335936 creator A5067453012 @default.
- W2944335936 date "2019-04-01" @default.
- W2944335936 modified "2023-09-26" @default.
- W2944335936 title "Improvement of LDA Topic Mining Algorithm and Its Application in Short Text" @default.
- W2944335936 cites W2018409826 @default.
- W2944335936 cites W2466400516 @default.
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- W2944335936 doi "https://doi.org/10.1088/1742-6596/1187/4/042038" @default.
- W2944335936 hasPublicationYear "2019" @default.
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