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Text feature extraction is one of the foundation of natural language processing, the traditional TF-IDF weight calculation method only consider characteristics of the frequency, but those feature items on different positions have different contributions to the text classification. By considering characteristics of the frequency, position and the mutual(More)
The current active information service system focuses too much on the study of personalized modeling, and there is less research on artificial participation, automatic information analysis and automatic information update. According to the requirement of active information service to topical web, the article integrate agent technology, information filtering(More)
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