Software Visualization in the Large
Computer
The Shape of Shakespeare: Visualizing Text using Implicit Surfaces
INFOVIS '98 Proceedings of the 1998 IEEE Symposium on Information Visualization
Visualizing the non-visual: spatial analysis and interaction with information from text documents
INFOVIS '95 Proceedings of the 1995 IEEE Symposium on Information Visualization
ThemeRiver: Visualizing Theme Changes over Time
INFOVIS '00 Proceedings of the IEEE Symposium on Information Vizualization 2000
TreeJuxtaposer: scalable tree comparison using Focus+Context with guaranteed visibility
ACM SIGGRAPH 2003 Papers
The English literature researcher in the age of the Internet
Journal of Information Science
Rainbow Color Map (Still) Considered Harmful
IEEE Computer Graphics and Applications
Jigsaw: supporting investigative analysis through interactive visualization
Information Visualization
FacetAtlas: Multifaceted Visualization for Rich Text Corpora
IEEE Transactions on Visualization and Computer Graphics
Reading Machines: Toward an Algorithmic Criticism
Reading Machines: Toward an Algorithmic Criticism
Docuburst: visualizing document content using language structure
EuroVis'09 Proceedings of the 11th Eurographics / IEEE - VGTC conference on Visualization
Quantity estimation in visualizations of tagged text
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Modern literary scholars must combine access to vast collections of text with the traditional close analysis of their field. In this paper, we discuss the design and development of tools to support this work. Based on analysis of the needs of literary scholars, we constructed a suite of visualization tools for the analysis of large collections of tagged text (i.e. text where one or more words have been annotated as belonging to a specific category). These tools unite the aspects of the scholars' work: large scale overview tools help to identify corpus-wide statistical patterns while fine scale analysis tools assist in finding specific details that support these observations. We designed visual tools that support and integrate these levels of analysis. The result is the first tool suite that can support the multilevel text analysis performed by scholars, combining standard visual elements with novel methods for selecting individual texts and identifying represenative passages in them.