Deep learning for hate speech detection
ERRUI ZHANG · International Conference on Statistics, Applied Mathematics, and Computing Science (CSAMCS 2021) · 2022
With the rapid growth of the Internet, more and more people use online social media. Hence, hate speech becomes rampant in social media, and it is important to classify the hate speech and control it before it spreads. With the introduction and the development of deep learning, hate speech detection becomes practice. Many studies utilize data from social platforms such as Twitter and Facebook together with machine learning or deep learning technologies to detect and recognize hate speech. However, there are not enough reviews about this area. Hence, this paper aims to provide a review of using machine learning and deep learning for hate speech detection.