Posted by Nancy Bowles on April 6, 2020
As COVID-19 sweeps across the U.S. and the world, people have taken to social media with concerns, questions and opinions. Researchers at Missouri University of Science and Technology are analyzing tens of millions of posts on Twitter in real time to show how attitudes toward the disease have changed. The researchers are designing machine learning and natural language processing techniques for the study. They say the project is distinctive in that it measures topics of concern, subjectivity, social distancing and public sentiment rather than predicting the spread of infection.
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