Algorithms Computational methods Data structures Functions Fuzzy sets Semantics Data sets Documents Text categorization Text processing
Issue Date:
2006
Publisher:
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Citation:
Volume: 4223 LNAI, Page : 611-620
Abstract:
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.
