Visual Text Analytics: Techniques for Linguistic Information Visualization

Visual Text Analytics has been an active area of interdisciplinary research (http://textvis.lnu.se/). This interactive tutorial is designed to give attendees an introduction to the area of information visualization, with a focus on linguistic visualization. After an introduction to the basic principles of information visualization and visual analytics, this tutorial will give an overview of the broad spectrum of linguistic and text visualization techniques, as well as their application areas [3]. This will be followed by a hands-on session that will allow participants to design their own visualizations using tools (e.g., Tableau), libraries (e.g., d3.js), or applying sketching techniques [4]. Some sample datasets will be provided by the instructor. Besides general techniques, special access will be provided to use the VisArgue framework [1] for the analysis of selected datasets.

[1]  Daniel A. Keim,et al.  Bridging Text Visualization and Mining: A Task-Driven Survey , 2019, IEEE Transactions on Visualization and Computer Graphics.

[2]  Daniel A. Keim,et al.  Interactive Visual Analysis of Transcribed Multi-Party Discourse , 2017, ACL.

[3]  Andreas Kerren,et al.  Text visualization techniques: Taxonomy, visual survey, and community insights , 2015, 2015 IEEE Pacific Visualization Symposium (PacificVis).

[4]  M. Sheelagh T. Carpendale,et al.  An Exploratory Study of Data Sketching for Visual Representation , 2015, Comput. Graph. Forum.