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arXiv · 2301.05198

The Keyword Explorer Suite: A Toolkit for Understanding Online Populations

Philip Feldman·Shimei Pan·James R. Foulds
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Abstract

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

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Philip Feldman, Shimei Pan, James R. Foulds. 2023-01-12. The Keyword Explorer Suite: A Toolkit for Understanding Online Populations. https://arxiv.org/abs/2301.05198

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