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In this paper, we describe our system which participates in the shared taskof Hate Speech Detection on Social Networks of VLSP 2019 evaluation campaign.We are provided with the pre-labeled dataset and an unlabeled dataset forsocial media comments or posts. Our mission is to pre-process and build machinelearning models to classify comments/posts. In this report, we useBidirectional Long Short-Term Memory to build the model that can predict labelsfor social media text according to Clean, Offensive, Hate. With this system, weachieve comparative results with 71.43% on the public standard test set of VLSP2019.

Hate Speech Detection on Vietnamese Social Media Text using the Bidirectional-LSTM Model