Turning the bucket of text into a pipe

Many visual analysis tools operate on a fixed set of data. However, professional information analysts follow issues over a period of time and need to be able to easily add new documents to an ongoing exploration. Some analysts handle documents in a moving window of time, with new documents constantl...

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Bibliographic Details
Published inIEEE Symposium on Information Visualization, 2005. INFOVIS 2005 pp. 89 - 94
Main Authors Hetzler, E.G., Crow, V.L., Payne, D.A., Turner, A.E.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Aging
Chromium
Computer graphics
Data visualization
Feeds
Information analysis
Laboratories
Text analysis
Turning
Visual analytics
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Summary:Many visual analysis tools operate on a fixed set of data. However, professional information analysts follow issues over a period of time and need to be able to easily add new documents to an ongoing exploration. Some analysts handle documents in a moving window of time, with new documents constantly added and old ones aging out. This paper describes both the user interaction and the technical implementation approach for a visual analysis system designed to support constantly evolving text collections.
ISBN:9780780394643
078039464X
ISSN:1522-404X
DOI:10.1109/INFVIS.2005.1532133