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Paper detail

The Keyword Explorer Suite: A Toolkit for Understanding Online Populations

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

preprint2023arXivOpen access
Philip FeldmanShimei PanJames R. Foulds
Human-Computer Interaction
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Philip FeldmanShimei PanJames R. Foulds

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