Zhang, M.; Yu, A.; Sheng, X.; Park, J.; Rhee, J.; Cho, K.
EmoBERTa–CNN: Hybrid Deep Learning Approach Capturing Global Semantics and Local Features for Enhanced Emotion Recognition in Conversational Settings. Mathematics 2025, 13, 2438.
https://doi.org/10.3390/math13152438
AMA Style
Zhang M, Yu A, Sheng X, Park J, Rhee J, Cho K.
EmoBERTa–CNN: Hybrid Deep Learning Approach Capturing Global Semantics and Local Features for Enhanced Emotion Recognition in Conversational Settings. Mathematics. 2025; 13(15):2438.
https://doi.org/10.3390/math13152438
Chicago/Turabian Style
Zhang, Mingfeng, Aihe Yu, Xuanyu Sheng, Jisun Park, Jongtae Rhee, and Kyungeun Cho.
2025. "EmoBERTa–CNN: Hybrid Deep Learning Approach Capturing Global Semantics and Local Features for Enhanced Emotion Recognition in Conversational Settings" Mathematics 13, no. 15: 2438.
https://doi.org/10.3390/math13152438
APA Style
Zhang, M., Yu, A., Sheng, X., Park, J., Rhee, J., & Cho, K.
(2025). EmoBERTa–CNN: Hybrid Deep Learning Approach Capturing Global Semantics and Local Features for Enhanced Emotion Recognition in Conversational Settings. Mathematics, 13(15), 2438.
https://doi.org/10.3390/math13152438