Document analysis for visualization

Research output: Contribution to journalConference articlepeer-review

Abstract

An experimental term selection strategy for document visualization is described. Strong discriminators with few co-occurrences increase the clustering tendency of low-dimensional document browsing spaces. Clustering tendency is tested with diagnostic measures adapted from the field of cluster analysis, and confirmed using the VIBE visualization tool. This method supports browsing in high recall, low precision document retrieval and classification tasks.

Original languageEnglish (US)
Pages (from-to)199-204
Number of pages6
JournalSIGIR Forum (ACM Special Interest Group on Information Retrieval)
DOIs
StatePublished - Jan 1 1995
Externally publishedYes
EventProceedings of the 18th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval - Seattle, WA, USA
Duration: Jul 9 1995Jul 13 1995

ASJC Scopus subject areas

  • Management Information Systems
  • Hardware and Architecture

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