Classification of Hope in Textual Data using Transformer-Based Models

This article likely explores the application of transformer-based models (like BERT, GPT, etc.) to identify and classify instances of 'hope' within textual data. The focus is on sentiment analysis and potentially understanding the nuances of hopeful language. The use of ArXiv suggests this is a preliminary research paper, possibly detailing the methodology, dataset, and initial results of the study.