WEBSOM – Self-organizing maps of document collections

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 histogra...

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Veröffentlicht in:Neurocomputing (Amsterdam) 1998-10, Vol.21 (1), p.101-117
Hauptverfasser: Kaski, Samuel, Honkela, Timo, Lagus, Krista, Kohonen, Teuvo
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:0925-2312
1872-8286
DOI:10.1016/S0925-2312(98)00039-3