no code implementations • 16 Mar 2023 • R Guru Ravi Shanker, B Manikanta Gupta, BV Koushik, Vinoo Alluri
Fine-tuned XLMRoBERTa performs better than the SVM by improving macro-averaged F1-scores of 54. 69%, 67. 61%, 34. 13% to 77. 90%, 80. 71% and 58. 33% for valence, arousal and quadrant classifications, respectively, on 10-fold cross-validation.