PLATOS: Detection of topics, stance and argumentation in a social media corpus Ghent University
This proposal aims at investigating stance and argument detection on automatically extracted topics in social media text by combining linguistic knowledge and machine learning. The proposed research is innovative in
two respects: (1) term extraction and hypernym detection techniques will be combined with distributional information to detect topics and (2) a model for argumentation mining in social media text will be researched.