Depression Detection on Indonesian Social Media Using Fine-Tuned IndoBERT and SVM
Given statistically equivalent accuracy, combining fine-tuned IndoBERT embeddings with SVM offers substantially lower storage requirements at no measurable cost in classification performance, making it a promising, resource-efficient approach for depression detection on Indonesian social media.