Athifa Khansa Faaris

Leveraging Fine-tuned IndoBERT and Zero-shot GPT-4o for Mental Health Monitoring from Indonesian Tweets

Social media provides valuable linguistic signals for population-level mental health monitoring, but its informal, ambiguous, and context-dependent language complicates automated classification. This study compares fine-tuned IndoBERT and zero-shot GPT-4o on Indonesian-language tweets across three tasks: seven-class em...