Abstract
This paper examines different approaches and models towards offensive tweet classification which were used as a part of the OffensEval 2019 competition. It reviews Tweet preprocessing, techniques for overcoming unbalanced class distribution in the provided test data, and comparison of multiple attempted machine learning models.
Cite
CITATION STYLE
Radivchev, V., & Nikolov, A. (2019). Nikolov-Radivchev at SemEval-2019 task 6: Offensive tweet classification with BERT and ensembles. In NAACL HLT 2019 - International Workshop on Semantic Evaluation, SemEval 2019, Proceedings of the 13th Workshop (pp. 691–695). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/s19-2123
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