TexTonic: Interactive visualization for exploration and discovery of very large text collections. (July 2019)

• Record Type: Journal Article
• Authors: Paul, Celeste Lyn; Chang, Jessica; Endert, Alex; Cramer, Nick; Gillen, David; Hampton, Shawn; Burtner, Russ; Perko, Ralph; Cook, Kristin A
• Is Part Of: Information visualization. Volume 18:Number 3(2019)
• Page Start: 339
• Page End: 356
• Publication Date: 2019-07
• Subjects: Text and document visualization -- interactive visual analysis -- geospatial visualization -- adaptive user interfaces -- user study; Information visualization -- Periodicals; 006.605
• DOI: 10.1177/1473871618785390
• Languages: English
• ISSNs: 1473-8716

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.