Analyzing COVID-19 Tweets with Transformer-based Language Models
Analyzing COVID-19 Tweets with Transformer-based Language Models
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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This paper describes a method for using Transformer-based Language Models (TLMs) to understand public opinion from social media posts. In this approach, we train a set of GPT models on several COVID-19 tweet corpora that reflect populations of users with distinctive views. We then use prompt-based queries to probe these models to reveal insights in...
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Analyzing COVID-19 Tweets with Transformer-based Language Models
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TN_cdi_proquest_journals_2516593402
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2516593402
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2331-8422
