Get our free extension to see links to code for papers anywhere online!Free add-on: code for papers everywhere!Free add-on: See code for papers anywhere!

Add to Chrome

Add to Firefox

Add to Edge

Tin Van Huynh

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

Dec 02, 2019
Tin Van Huynh, Vu Duc Nguyen, Kiet Van Nguyen, Ngan Luu-Thuy Nguyen, Anh Gia-Tuan Nguyen

Figure 1 for Hate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-CNN Model

Figure 2 for Hate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-CNN Model

Figure 3 for Hate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-CNN Model

Figure 4 for Hate Speech Detection on Vietnamese Social Media Text using the Bi-GRU-LSTM-CNN Model

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.

* VLSP Workshop 2019
* We have some errors in experiments

Via

Access Paper or Ask Questions