Evaluation of Transformer and Gradient Boosting Models for Indonesian Mental Health Text Classification
This study compares the performance between traditional feature-based classification methods and transformer architectures in mapping stress, anxiety, and depression conditions in Indonesian-language mental health discourse. The task is formulated as a multi-class classification problem, where each consultation is assi...