Exploration of text collections with hierarchical feature maps
Published 1 January 1997
Dieter Merkl
Citations59
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This paper shows the results from using a hierarchy of self-organizing maps to perform the text classification task, and the choice of this particular artificial neural network model enables the establishment of a document taxonomy.
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article Free Access Share on Exploration of text collections with hierarchical feature maps Author: Dieter Merkl Department of Computer Science, Royal Melbourne Institute of Technology, 723 Swanston St., Carlton, VIC 3053, Australia and Institut für Softwaretechnik, Technische Universität Wien, Resselgasse 3/188, A-1040 Vienna, Austria Department of Computer Science, Royal Melbourne Institute of Technology, 723 Swanston St., Carlton, VIC 3053, Australia and Institut für Softwaretechnik, Technische Universität Wien, Resselgasse 3/188, A-1040 Vienna, AustriaView Profile Authors Info & Claims ACM SIGIR ForumVolume 31Issue SIDecember 1997pp 186–195https://doi.org/10.1145/278459.258564Published:01 July 1997Publication History 39citation1,023DownloadsMetricsTotal Citations39Total Downloads1,023Last 12 Months39Last 6 weeks2 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
Keywords
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