A RoBERTa-based classifier designed to predict the presence of ten moral foundations within text
It can be used for various text analysis tasks, such as content analysis, opinion mining. The model was trained on a diverse corpus of text, including personal and political blogs, news media articles, essays, short stories, parliamentary debates, UN speeches & speeches by central bank presidents.
Available at https://huggingface.co/MMADS/MoralFoundationsClassifier