Title
A visualization testbed for analyzing the performance of computational linguistics algorithms
Abstract
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.
Year
DOI
Venue
2007
10.1057/palgrave.ivs.9500141
Information Visualization
Keywords
Field
DocType
visualization system,assigning weight,cluster document,algorithm analysis technique,testbed visualization,roc curves,computational linguistics algorithm,interactive reports,confusion matrices,scalable vector graphics,analysis portal,visual system,ajax,roc curve
Computer vision,Scalable Vector Graphics,Data mining,Confusion,Visualization,Computer science,Computational linguistics,Testbed,Algorithm,Ajax,Artificial intelligence,Thin client
Journal
Volume
Issue
Citations 
6
1
1
PageRank 
References 
Authors
0.39
1
3
Name
Order
Citations
PageRank
Stephen G. Eick11032172.21
Justin Mauger211.40
Alan Ratner311.40