In this paper, we describe our system which participates in the shared task of Hate Speech Detection on Social Networks of VLSP 2019 evaluation campaign. We are provided with the pre-labeled dataset and an unlabeled dataset for social media comments or posts. Our mission is to pre-process and build machine learning models to classify comments/posts. In this report, we use Bidirectional Long Short-Term Memory to build the model that can predict labels for social media text according to Clean, Offensive, Hate. With this system, we achieve comparative results with 71.43% on the public standard test set of VLSP 2019.
@article{arxiv.1911.03648,
title = {Hate Speech Detection on Vietnamese Social Media Text using the Bidirectional-LSTM Model},
author = {Hang Thi-Thuy Do and Huy Duc Huynh and Kiet Van Nguyen and Ngan Luu-Thuy Nguyen and Anh Gia-Tuan Nguyen},
journal= {arXiv preprint arXiv:1911.03648},
year = {2019}
}