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Capturing Public Concerns About Coronavirus Using Arabic Tweets: An NLP-Driven Approach
2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC)
This In order to analyze the people reactions and opinions about Coronavirus (COVID-19), there is a need for computational framework, which leverages machine learning (ML) and natural language processing (NLP) techniques to identify COVID tweets and further categorize these in to disease specific feelings to address societal concerns related to Safety, Worriedness, and Irony of COVID. This is an ongoing study, and the purpose of this paper is to demonstrate the initial results of determiningdoi:10.1109/ucc48980.2020.00049 fatcat:yoi4hpc4kvcm5k5lyf3dwgo7wu