Garent Ecklesia

Enhancing Efficiency and Transparency in Transformer-Based Emotion Classification for Indonesian Tweets

The growing use of social media in Indonesia has led to an abundance of emotionally rich content, offering valuable insights into public sentiment while also creating challenges for computational analysis due to linguistic variability, informal expressions, and diverse writing styles. This study aims to evaluate and en...