Mining Arguments from Podcasts - Einzelansicht

Computational argumentation tries to present a user with pro and/or contra arguments on a controversial topic. These arguments are usually mined (extracted) from long and well-structured debates from websites like debate.org. However, the debates on these websites often cover few and outdated topics. An alternative source for a broad variety of up-to-date topics are transcribed podcasts. This project will leverage cutting-edge argument mining technologies and apply them to podcast data, providing insights into the nature of arguments in this context and how they differ from traditional debates.

Time and place will be announced at the project fair.

Abschlusspräsentation und Ausarbeitung

B.Sc. Informatik/ B. Sc. Medieninformatik

M.Sc. Computer Science for Digital Media /Computer Science and Media

M.Sc. Human-Computer Interaction

M.Sc. Digital Engineering