lingvis.io : A Linguistic Visual Analytics Framework
2019, El-Assady, Mennatallah, Jentner, Wolfgang, Sperrle, Fabian, Sevastjanova, Rita, Hautli-Janisz, Annette, Butt, Miriam, Keim, Daniel A.
We present a modular framework for the rapid-prototyping of linguistic, web-based, visual analytics applications. Our framework gives developers access to a rich set of machine learning and natural language processing steps, through encapsulating them into micro-services and combining them into a computational pipeline. This processing pipeline is auto-configured based on the requirements of the visualization front-end, making the linguistic processing and visualization design, detached independent development tasks. This paper describes the constellation and modality of our framework, which continues to support the efficient development of various human-in-the-loop, linguistic visual analytics research techniques and applications.
VisArgue : A Visual Text Analytics Framework for the Study of Deliberative Communication
2016, El-Assady, Mennatallah, Gold, Valentin, Hautli-Janisz, Annette, Jentner, Wolfgang, Butt, Miriam, Holzinger, Katharina, Keim, Daniel A.
For the last two decades, deliberative democracy has been intensively debated within political science and other related fields. Only recently, deliberation research has experienced a computational turn. In this paper, we present a linguistic and visual framework for the study of deliberative communication. The framework includes a range of visual analytics approaches to support research into deliberation. In particular, we propose a range of visualizations for highlighting deliberative patterns over time, speakers, and debates.