Fine-tuning Pre-trained Language Models for Dialog Act Classification and Sentiment Analysis
This work presents an approach for fine-tuning pre-trained language models to perform dialog act classification or sentiment/emotion analysis.
Classification
Multi-label Classification of Tracks
The project aimed to build a performing model associating genre labels with each music title in a database using audio signal data and listener-related information, operating within a multi-label classification framework.