Extracting Insights From Climate Change Research with NLP

Explore a 28-minute video presentation on leveraging Natural Language Processing (NLP) to extract valuable insights from climate change research. Learn how Snorkel AI developed an innovative NLP workflow to efficiently label a massive corpus of 600,000 climate-related research articles. Discover how this approach dramatically reduced the labeling process from months to just 12 hours, utilizing GPU scaling at the Argonne Leadership Computing Facility. Gain insights into key climate change trends, risk factors, and environmental impacts derived from this large-scale analysis. Understand the potential of NLP in addressing the challenges of extracting useful information from the rapidly growing body of scientific literature on climate change and mitigation strategies.