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- W2364753576 abstract "Based on the basic corpus composed of comment extracts from online-shopping,the thesis builds a vocabulary database of customers′ attitudes towards the online-shopping comments.The comments on the hot events are analyzed by applying k-nearest neighbor and SVM algorithm.The result shows that SVM algorithm is better than k-nearest in this aspect,which provides reference for studying on the online-shopping comments." @default.
- W2364753576 created "2016-06-24" @default.
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- W2364753576 date "2013-01-01" @default.
- W2364753576 modified "2023-09-22" @default.
- W2364753576 title "Research on online-shopping sentiment based on k-nearest neighbor and SVM algorithm" @default.
- W2364753576 hasPublicationYear "2013" @default.
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