A survey on hate speech detection and sentiment analysis using machine learning and deep learning models (Alexandria Engineering Journal)

In an effort to solve this urgent problem, researchers have adopted machine learning and deep learning techniques to develop automated systems that can perform sentiment analysis and efficiently identify hate speech. Using machine learning and deep learning models, this survey article offers a thorough summary of current developments in sentiment analysis and hate speech identification. The researchers provide a comprehensive review of the many approaches and data used in this field. The authors also examine the particular difficulties these algorithms have in correctly recognizing and categorizing hate speech and emotion in online communication. Lastly, areas that require more research and offer possible new directions for investigation in the domains of sentiment analysis and hate speech recognition are highlighted.

https://www.sciencedirect.com/science/article/pii/S1110016823007238