Interactive Visual Analysis of Transcribed Multi-Party Discourse


We present the first web-based Visual Analytics framework for the analysis of multi-party discourse data using verbatim text transcripts. Our framework supports a broad range of server-based processing steps, ranging from data mining and sta-tistical analysis to deep linguistic parsing of English and German. On the client-side, browser-based Visual Analytics compo-nents enable multiple perspectives on the analyzed data. These interactive visualiza-tions allow exploratory content analysis, argumentation pattern review and speaker interaction modeling.

Proc. of Association for Computational Linguistics (ACL), System Demonstrations