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- W2356165306 abstract "Tibetan document representation is to transfer the non-structure Tibetan text into an information form which can be processed by the computer,which is the premise of the categorization and clustering of the Tibetan text.Traditional Tibetan document representation methods take little relational degree of the feature items into account.As a result,some semantic information will be lost,and the accuracy of the document representation will be reduced.Integrated with the Vector Space Model(VSM) which is a classical model in information retrieval,this paper proposes a new document representation method.The terms with high value of TF-IDF are extracted as compared terms first,and then Tibetan sentences are segmented from Tibetan document as context subject,and the Chi-square statistic is used to compute the degree of bias between each term and the compared terms.Experimental results show that this method works more accurately than the traditional VSM in Tibetan document representation." @default.
- W2356165306 created "2016-06-24" @default.
- W2356165306 creator A5075399041 @default.
- W2356165306 date "2014-01-01" @default.
- W2356165306 modified "2023-10-04" @default.
- W2356165306 title "Tibetan Document Representation Method Based on Improved Chi-squared Statistic" @default.
- W2356165306 hasPublicationYear "2014" @default.
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