Unsupervised NLP for quantifying sentiment deviation and framing in global climate discourse
A scalable and unsupervised natural language processing (NLP) framework to measure sentiment changes and framing patterns in global climate discussions across major news outlets and reveals regional sentiment differences, outlet-level framing patterns, thematic trends, and notable shifts in response to major climate ev...