Handling Class Imbalanced Data in Sarcasm Detection with Ensemble Oversampling Techniques

• Published in: Applied artificial intelligence Vol. 39; no. 1
• Main Authors: Hu, Ya-Han, Liu, Ting-Hsuan, Tsai, Chih-Fong, Lin, Yu-Jung
• Format: Journal Article
• Language: English
• Published: Taylor & Francis Group 31.12.2025

The rise of social media has amplified online sharing, necessitating businesses to comprehend public sentiment. Traditional sentiment analysis struggles with sarcasm detection and class imbalance. To address this, we introduce Synthetic Ensemble Oversampling methods (SEO) that effectively leverage t...