Paper: Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations

ACL ID N13-3009
Title Argviz: Interactive Visualization of Topic Dynamics in Multi-party Conversations
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session System Demonstration
Year 2013
Authors

We introduce an efficient, interactive framework?Argviz?for experts to analyze the dynamic topical structure of multi-party conversations. Users inject their needs, expertise, and insights into models via iterative topic refinement. The refined topics feed into a segmentation model, whose outputs are shown to users via multiple coordinated views.