Comparative analysis of hate speech detection: Traditional vs. deep learning approaches

• Main Authors: PEN, Haibo, TEO, Nicole Anne Huiying, WANG, Zhaoxia
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2024
• Subjects: Deep learning; Hate speech detection; Performance comparison; Traditional learning-based methods; Multidimensional aspect analysis; Artificial Intelligence and Robotics; Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/9161; https://ink.library.smu.edu.sg/context/sis_research/article/10164/viewcontent/IEEE_CAI_2024_Comparative_Analysis_of_Hate_Speech_Detection_2024_Jan__4_.pdf
• Institution: Singapore Management University

Detecting hate speech on social media poses a significant challenge, especially in distinguishing it from offensive language, as learning-based models often struggle due to nuanced differences between them, which leads to frequent misclassifications of hate speech instances, with most research focus...