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NSF funds Philip for COVID-19 research

Congratulations to Philip Resnik, whose "RAPID: Advanced Topic Modeling Methods to Analyze Text Responses in COVID-19 Survey Data" has earned NSF Rapid Response Research funding, for one year. The project will use deep learning and Bayesian topic modeling to analyze and classify responses, both closed and open-ended, to questions in surveys administered by both public and private organizations responding to the COVID-19 crisis.