Title
Visualizing The Performance Of Computational Linguistics Algorithms
Abstract
We have built a visualization system and analysis portal for evaluating the performance of computational linguistics algorithms. Our system focuses on algorithms that classify and cluster documents by assigning weights to words and scoring each document against high dimensional reference concept vectors. The visualization and algorithm analysis techniques include Confusion Matrices, ROC Curves, Document Visualizations showing word importance. and Interactive Reports. One of the unique aspects of our system is that the visualizations are thin-client web-based components built using SVG visualization components.
Year
DOI
Venue
2006
10.1109/VAST.2006.261417
VAST 2006: IEEE SYMPOSIUM ON VISUAL ANALYTICS SCIENCE AND TECHNOLOGY, PROCEEDINGS
Keywords
Field
DocType
AJAX, thin-client, SVG, ROC curves, confusion matrices, document categorization
Document classification,Scalable Vector Graphics,Data mining,Confusion,Information retrieval,Visualization,Document clustering,Computer science,Computational linguistics,Algorithm,Ajax,Thin client
Conference
ISSN
Citations 
PageRank 
2325-9442
0
0.34
References 
Authors
1
3
Name
Order
Citations
PageRank
Stephen G. Eick11032172.21
Justin Mauger211.40
Alan Ratner311.40