Paper Info
Title
Textonic: Interactive Visualization For Exploration And Discovery Of Very Large Text Collections
Abstract
TexTonic is a visual analytic system for interactive exploration of very large unstructured text collections. TexTonic visualizes hierarchical clusters of representative terms, snippets, and documents in a single, multi-scale spatial layout. Exploration is supported by interacting with the visualization and directly manipulating the terms in the visualization using semantic interactions. These semantic interactions steer the underlying analytic model by translating user interactions within the visualization to contextual updates to the supporting data model. The combination of semantic interactions and information visualization at multiple levels of the data hierarchy helps users manage information overload so that they can more effectively explore very large text collections. In this article, we describe TexTonic's data processing and analytic pipeline, user interface and interaction design principles, and results of a user study conducted mid-development with experienced data analysts. We also discuss the implications TexTonic could have on visual exploration and discovery tasks.
Year
DOI
Venue
2019
10.1177/1473871618785390
INFORMATION VISUALIZATION
Keywords
Field
DocType
Text and document visualization, interactive visual analysis, geospatial visualization, adaptive user interfaces, user study
Computer vision,Geospatial visualization,Computer science,Interactive visualization,Human–computer interaction,Interactive visual analysis,Artificial intelligence
Journal
Volume
Issue
ISSN
18
3
1473-8716
Citations 
PageRank 
References 
2
0.35
8
Authors
9
Name
Order
Citations
PageRank
Celeste Lyn Paul1526.60
Jessica Chang251.46
Alex Endert397452.18
Nick Cramer4505.50
David S. Gillen520.35
Shawn Hampton620.35
Russ Burtner7222.58
Ralph Perko820.35
Kristin A. Cook923617.03