Note: Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study
Note: Public Perception of the COVID-19 Pandemic on Twitter: Sentiment Analysis and Topic Modeling Study doi: http://dx.doi.org/10.2196/21978 Gap; Lack of infoveillence (information watchfulness) on covid19 Objective; Increase public awareness of COVID-19 pandemic trends Uncover meaningful themes of concern which shown by twitter (using english language to search) Method; Data mining Total 107,990 tweets related to COVID December 13 - Mar 9 2020 -- 3 months Frequency of keywords, Sentiment analysis, and Topic modeling to identify and Explore discussion topics over time Natural language processing + Dirichlet allocation algorithm Identify most common tweet topics Categorized clusters Identify themes based on keyword analysis Result; Indicate three main aspects of public awareness+concern Trend of spread + symptoms of covid -- 3 stages Sentimental analysis reveals negative Topic modeling -- themes divide into 3 Covid pandemic emergency How to control covid Report on co...