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- W2371326054 abstract "The traditional algorithms for text information filtering can't recognize the semantic of text because they only implement the judgement on the level of structure matching.This paper introduced a Semantic-based Content Filtering system for Web page,by some key steps such as Chinese Word Segmentation,the semantic-based framework forming,calculating the similar degree of two semantic-based frameworks etc.,the value,which can represent the similar degree of two semantic-based frameworks,and can be calculated and decide to filtrate or not.The results of experiments proved that semantic filtering can discriminate the different standpoints.The precision is improved in evidence compared with content filtering only by key word." @default.
- W2371326054 created "2016-06-24" @default.
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- W2371326054 date "2007-01-01" @default.
- W2371326054 modified "2023-09-24" @default.
- W2371326054 title "Design and implement of a semantic-based text information filtering system for Web page" @default.
- W2371326054 hasPublicationYear "2007" @default.
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