JTML at SemEval-2019 Task 6: Offensive Tweets Identification using Convolutional Neural Networks

Johnny Torres, Carmen Vaca
2019 Proceedings of the 13th International Workshop on Semantic Evaluation  
In this paper, we propose the use of a Convolutional Neural Network (CNN) to identify offensive tweets. We use an end-to-end model (i.e., no preprocessing) and fine-tune pretrained embeddings (FastText) during training for learning words' representation. We compare the proposed CNN model to a baseline model, such as Linear Regression, and several neural models. The results show that CNN outperforms other models, and stands as a simple but strong baseline in comparison to other systems submitted to the Shared Task.
doi:10.18653/v1/s19-2117 dblp:conf/semeval/TorresV19 fatcat:kbhfz5rqpvdbzasm2fq5olmnva