Novialdi Ashari

LLM-Assisted Sentiment Analysis for Indonesia's Coretax Policy: A Knowledge Distillation and Human-in-the-Loop Approach

The lack of high-quality labeled datasets remains a major challenge for sentiment analysis in low-resource languages such as Indonesian, particularly in specialized domains like fiscal policy. This study investigates the effectiveness of Large Language Models (LLMs) as automated annotators within a teacher-student know...