Visible to the public Visual Text Analytics: Techniques for Linguistic Information Visualization

TitleVisual Text Analytics: Techniques for Linguistic Information Visualization
Publication TypeConference Paper
Year of Publication2018
AuthorsEl-Assady, Mennatallah
Conference NameProceedings of the ACM Symposium on Document Engineering 2018
PublisherACM
ISBN Number978-1-4503-5769-2
Keywordscomposability, human factors, Metrics, pubcrawl, Scalability, text analytics
AbstractVisual 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.
DOI10.1145/3209280.3232795
Citation Keyel-assady_visual_2018