Abstract
While fake news detection received quite a bit of attention in recent years, hyperpartisan news detection is still an underresearched topic. This paper presents our work towards building a classification system for hyperpartisan news detection in the context of the SemEval2019 shared task 4. We experiment with two different approaches - a more stylistic one, and a more content related one - achieving average results.
Cite
CITATION STYLE
Knauth, J. (2019). Orwellian-times at SemEval-2019 task 4: A stylistic and content-based classifier. In NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop (pp. 976–980). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s19-2168
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
