A visualization testbed for analyzing the performance of computational linguistics algorithms

We have built an AJAX-enabled browser-based testbed for evaluating the performance of computational linguistics algorithms. Our testbed consists of a visualization system and analysis portal. Our focus is on algorithms that classify and cluster documents by assigning weights to words and scoring eac...

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Bibliographic Details
Published inInformation visualization Vol. 6; no. 1; pp. 64 - 74
Main Authors Eick, Stephen G., Mauger, Justin, Ratner, Alan
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.03.2007
SAGE PUBLICATIONS, INC
Subjects
Algorithms
Automatic text analysis
Computational linguistics
Football
Information retrieval
Information systems
Linguistics
Semantics
Studies
Visualization
confusion matrices
thin-client
document categorization
scalable vector graphics
AJAX
ROC curves
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Summary:We have built an AJAX-enabled browser-based testbed for evaluating the performance of computational linguistics algorithms. Our testbed consists of a visualization system and analysis portal. Our focus is on algorithms that classify and cluster documents by assigning weights to words and scoring each document against high-dimensional reference concept vectors. The testbed visualization and algorithm analysis techniques include Confusion Matrices, ROC Curves, Document Visualizations showing word importance, and Interactive Reports. A unique aspect of our testbed is document visualizations built using Scalable Vector Graphics that show why documents are assigned to particular concepts and categories.
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ISSN:1473-8716
1473-8724
DOI:10.1057/palgrave.ivs.9500141