Extracting Covid 19 Events From Twitter

Extracting COVID-19 Events from Twitter is a task that utilizes natural language processing techniques to extract information related to the novel coronavirus from the social media platform Twitter. Its objective is to automatically identify and categorize various events concerning the epidemic, such as case reports, policy changes, vaccine developments, etc., to monitor and analyze global pandemic dynamics in real time. The application value of this task lies in providing timely and accurate data support for public health agencies, researchers, and the public, assisting in epidemic prevention and control as well as decision-making.