Faceted classifications of text collections provide a useful means of partitioning documents into related groups, however traditional approaches of faceting text collections rely on comprehensive analysis of the subject area or annotated general attributes. In this paper we show the application of basic principles for facet analysis to the development of computational methods for facet classification of text collections. Integration with a visual analytics system is described with summaries of user experiences.
Revised: September 4, 2013 |
Published: October 24, 2011
Citation
Rose S.J., I.E. Roberts, and N.O. Cramer. 2011.Facets for Discovery and Exploration in Text Collections. In IEEE Workshop on Interactive Visual Text Analytics for Decision Making at VisWeek 2011, October 23 - 28, 2011, Providence, Rhode Island. Los Alamitos, California:IEEE Computer Society.PNNL-SA-82650.