Authors
Samuel Kaski, Timo Honkela, Krista Lagus, Teuvo Kohonen
Publication date
1998/11/6
Journal
Neurocomputing
Volume
21
Issue
1-3
Pages
101-117
Publisher
Elsevier
Description
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.
Total citations
Scholar articles
S Kaski, T Honkela, K Lagus, T Kohonen - Neurocomputing, 1998