AI Article Synopsis
- The study explores using social media mining to track COVID-19 reports on Twitter in England.
- It builds on methods previously used in the US to identify personal accounts of COVID-19 experiences.
- The results show that natural language processing and machine learning can effectively monitor the spread of the virus geographically and over time.
Article Abstract
The rapidly evolving COVID-19 pandemic presents challenges for actively monitoring its transmission. In this study, we extend a social media mining approach used in the US to automatically identify personal reports of COVID-19 on Twitter in England, UK. The findings indicate that natural language processing and machine learning framework could help provide an early indication of the chronological and geographical distribution of COVID-19 in England.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7273260 | PMC |
| http://dx.doi.org/10.1101/2020.05.05.20083436 | DOI Listing |
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