RooseBERT: A New Deal For Political Language Modelling

RooseBERT, a novel pre-trained language model specifically designed for political discourse analysis, has been released, trained on an 11GB corpus of political debates and speeches. It has been fine-tuned on various downstream tasks such as stance detection, sentiment analysis, and named entity recognition, demonstrating improved performance over general-purpose language models in these areas. This model addresses the unique challenges of analyzing political language, providing practitioners with a specialized tool for enhancing the understanding of political debates.