# Hate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-CNN Model

arXiv: https://arxiv.org/abs/1911.03644 · HTML: https://mlsanity.com/paper/1911.03644/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 9 Nov 2019.

## Built on by (most cited first, 7 of 7)

- [Constructive and Toxic Speech Detection for Open-domain Social Media Comments in Vietnamese](https://mlsanity.com/paper/2103.10069/) (2021)
- [SA2SL: From Aspect-Based Sentiment Analysis to Social Listening System for Business Intelligence](https://mlsanity.com/paper/2105.15079/) (2021)
- [Cyberbullying Detection for Low-resource Languages and Dialects: Review of the State of the Art](https://mlsanity.com/paper/2308.15745/) (2023)
- [Crossing Linguistic Horizons: Finetuning and Comprehensive Evaluation of Vietnamese Large Language Models](https://mlsanity.com/paper/2403.02715/) (2024)
- [Predicting Job Titles from Job Descriptions with Multi-label Text Classification](https://mlsanity.com/paper/2112.11052/) (2021)
- [Transformer-Based Contextualized Language Models Joint with Neural Networks for Natural Language Inference in Vietnamese](https://mlsanity.com/paper/2411.13407/) (2024)
- [ViTHSD: Exploiting Hatred by Targets for Hate Speech Detection on Vietnamese Social Media Texts](https://mlsanity.com/paper/2404.19252/) (2024)

## Abstract (arXiv)

In recent years, Hate Speech Detection has become one of the interesting fields in natural language processing or computational linguistics. In this paper, we present the description of our system to solve this problem at the VLSP shared task 2019: Hate Speech Detection on Social Networks with the corpus which contains 20,345 human-labeled comments/posts for training and 5,086 for public-testing. We implement a deep learning method based on the Bi-GRU-LSTM-CNN classifier into this task. Our result in this task is 70.576% of F1-score, ranking the 5th of performance on public-test set.