WEBSOM–self-organizing maps of document collections

S Kaski, T Honkela, K Lagus, T Kohonen - Neurocomputing, 1998 - Elsevier
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 …

Self-organizing maps of very large document collections: Justification for the WEBSOM method

T Honkela, S Kaski, T Kohonen, K Lagus - … of Potsdam, March 12–14, 1997, 1998 - Springer
Powerful methods are needed for interactive exploration and search from collections of
miscellaneous textual documents that are available in the electronic media. Searching from …

[PDF][PDF] Self-Organizing Maps of Document Collections: A New Approach to Interactive Exploration.

K Lagus, T Honkela, S Kaski, T Kohonen - KDD, 1996 - cdn.aaai.org
Powerful methods for interactive exploration and search from collections of free-form textual
documents are needed to manage the ever-increasing flood of digital information. In this …

Self organization of a massive document collection

T Kohonen, S Kaski, K Lagus, J Salojarvi… - IEEE transactions on …, 2000 - ieeexplore.ieee.org
Describes the implementation of a system that is able to organize vast document collections
according to textual similarities. It is based on the self-organizing map (SOM) algorithm. As …

Mining massive document collections by the WEBSOM method

K Lagus, S Kaski, T Kohonen - Information Sciences, 2004 - Elsevier
A viable alternative to the traditional text-mining methods is the WEBSOM, a software system
based on the Self-Organizing Map (SOM) principle. Prior to the searching or browsing …

Self-organization of very large document collections: State of the art

T Kohonen - ICANN 98: Proceedings of the 8th International …, 1998 - Springer
Abstract The Self-Organizing Map (SOM) forms a nonlinear projection from a high-
dimensional data manifold onto a low-dimensional grid. A representative model of some …

[PDF][PDF] Newsgroup exploration with WEBSOM method and browsing interface

T Honkela, S Kaski, K Lagus, T Kohonen - 1996 - research.ics.aalto.fi
The current availability of large collections of full-text documents in electronic form
emphasizes the need for intelligent information retrieval techniques. Especially in the rapidly …

Very large two-level SOM for the browsing of newsgroups

T Kohonen, S Kaski, K Lagus, T Honkela - Artificial Neural Networks …, 1996 - Springer
On January 19, 1996 we published in the Internet a demo of how to use Self-Organizing
Maps (SOMs) for the organization of large collections of full-text files. Later we added other …

WEBSOM for textual data mining

K Lagus, T Honkela, S Kaski, T Kohonen - Artificial Intelligence Review, 1999 - Springer
New methods that are user-friendly and efficient are needed for guidanceamong the masses
of textual information available in the Internet and theWorld Wide Web. We have developed …

[PDF][PDF] Self-organizing maps in natural language processing

T Honkela - 1997 - Citeseer
Abstract Kohonen's Self-Organizing Map (SOM) is one of the most popular arti cial neural
network algorithms. Word category maps are SOMs that have been organized according to …