TRANSFORMER-BASED EMOTION CLASSIFICATION FOR INDONESIAN POLITICAL SPEECH
This study aims to classify emotions in Indonesian political speeches using the RoBERTa Transformer model. The dataset comprises 2,952 paragraphs derived from transcripts of closed-meeting political speeches delivered between 2014 and 2024. The research methodology encompasses data collection, augmentation, automatic e...