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Thesaurus is the basis for document indexing, classification and intelligent information processing. This paper presents the connotation, design method, results of the vocabulary system which is based on collaborative practices, and looks forward to the next step in the Research and Development and application direction. It overcomes the inadequacies of traditional thesaurus such as poor maintenance...
This paper presents a new conceptual indexing technique intended to overcome the major problems resulting from the use of Term Frequency (TF) based approaches. To resolve the semantic problems related to TF approaches, the proposed technique disambiguates the words contained in a document and creates a list of super ordinates based on an external knowledge source. In order to reduce the dimension...
Aiming at the characteristic of text categorization, this paper proposes an improved method of computing term weights, tfidfie, based on the traditional tfidf function that is generally used in most classifiers. In comparison with the tfidf function, the tfidfie function adds an information entropy factor, H, which represents the distribution of documents in the training set in which the term occurs...
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