Abstract
This article describes a method of finding the contextual relationships among different terms in a database. First, the vector model is used to represent the terms as vectors according to which documents they appear in. Second, these vectors are used as the input to a Kohonen network, which organizes them topologically. This organization, in turn, generates term clusters arranged on a grid, so that each term is not only related to the others in its own cluster but also to those of neighboring clusters.
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