Predicting party affiliations from european parliament debates
Published in Proceedings of the acl 2014 workshop on language technologies and computational social science, 2014
Recommended citation: Bjørn Høyland, Jean-François Godbout, Emanuele Lapponi, and Erik Velldal (2014)."Predicting party affiliations from european parliament debates."Proceedings of the acl 2014 workshop on language technologies and computational social science. https://doi.org/10.1093/oxfordhb/9780199653010.013.0021
This paper documents an ongoing effort to assess whether party group affiliation of participants in European Parliament debates can be automatically predicted on the basis of the content of their speeches, using a support vector machine multi-class model. The work represents a joint effort between researchers within Political Science and Language Technology.