  We have developed a set of Python applications that use large language models
to identify and analyze data from social media platforms relevant to a
population of interest. Our pipeline begins with using OpenAI's GPT-3 to
generate potential keywords for identifying relevant text content from the
target population. The keywords are then validated, and the content downloaded
and analyzed using GPT-3 embedding and manifold reduction. Corpora are then
created to fine-tune GPT-2 models to explore latent information via
prompt-based queries. These tools allow researchers and practitioners to gain
valuable insights into population subgroups online.
  Source code at https://github.com/pgfeldman/KeywordExplorer
