In this paper we develop the general framework for text representation based on fuzzy set theory. This work is extended from our original ideas [5],[4], in which a document is represented by a set of fuzzy concepts. The importance degree of these fuzzy concepts characterize the semantics of documents and can be calculated by a specified aggregation function of index terms. Based on this representation, a general framework is proposed and applied to text categorization problem. An algorithm is given in detail for choosing fuzzy concepts. Experiments on the real-world data set show that the proposed method is superior to the conventional method for text representation in text categorization. © Springer-Verlag Berlin Heidelberg 2006.

Doan S., Ha Q.-T., Horiguchi S.

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Từ khóa : Algorithms; Computational methods; Data structures; Functions; Fuzzy sets; Semantics; Data sets; Documents; Text categorization; Text processing