Changxian He

Reliability Evaluation of Large Language Models for Social Media Sentiment Annotation: An Empirical Study Based on Model Agreement and Downstream Tasks

Obvious performance discrepancies exist across LLMs; high-quality annotations significantly boost downstream classification accuracy, which highlights the importance of selecting competent LLMs for sentiment labeling tasks.