Category: InfoVis
Journal: Neurocomputing
Abstract: With the WEBSOM method a textual document collection may be
        organized onto a graphical map display that provides an
        overview of the collection and facilitates interactive
        browsing. Interesting documents can be located on the map
        using a content-directed search. Each document is encoded
        as a histogram of word categories which are formed by the
        Self-Organizing Map (SOM) algorithm based on the
        similarities in the contexts of the words. The encoded
        documents are organized on another Self-Organizing Map, a
        document map, on which nearby locations contain similar
        documents. Special consideration is given to the
        computation of very large document maps which is possible
        with general-purpose computers if the dimensionality of the
        word category histograms is first reduced with a random
        mapping method and if computationally efficient algorithms
        are used in computing the SOMs.
Bibtype: Article
URL: http://websom.hut.fi/websom/doc/publications.html#Kaski98
Pages: 101-117
Author: S. Kaski
        T. Honkela
        K. Lagus
        T. Kohonen
Title: WEBSOM - self-organizing maps of document collections
Year: 1998
Date: 2003/08/01 04:59:50
Volume: 21