Vialab member Menna El-Assady to present ‘ThreadReconstructor: Modeling Reply-Chains to Untangle Conversational Text through Visual Analytics’ at EuroVis 2018 in Brno.

On Wednesday, June 6th, 2018, a Vialab member will be presenting a new paper.

“ThreadReconstructor: Modeling Reply-Chains to Untangle Conversational Text through Visual Analytics” is lead by Ph.D. student Mennatallah El-Assady in collaboration with the University of Konstanz, and presents a visual analytics approach for detecting and analyzing the implicit conversational structure of discussions. Motivated by the need to reveal and understand single threads in online conversations and text transcripts, ThreadReconstructor combines supervised and unsupervised machine learning models to enable the exploration of generated threaded structures and the analysis of the untangled reply-chains, comparing different models and their agreement.

ThreadReconstructor will be published in the Computer Graphics Forum, volume 37, issue 3, and presented at Eurovis 2018 in Brno.