Abstract
Covid-19 (Corona virus) hits the world with wildness, affecting various sectors of life. The whole world has united to confront the virus, and different vaccines were developed to vaccinate the largest possible percentage as an effort to reach community immunity to limit its spread. Governments seek to measure public opinion about vaccination campaigns to improve the quality of services provided. One of the most effective ways to do this is to use artificial intelligence to sense and analyze what the public is posting on social media such as Twitter to ensure that their opinion is known without bias. The study used Twitter API to retrieve Arabic tweets then measured public acceptance of vaccination against Covid-19 disease by using sentiment analysis combined with deep learning as a technique that ensures access to people’s opinions quickly and at a very low cost. The results of this study showed that most people are having a positive opinion on the vaccination with different percentages vary from a vaccine type to another.
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Almurtadha, Y., Ghaleb, M., Saleh, A.M.S. (2023). Sentiment Analysis to Extract Public Feelings on Covid-19 Vaccination. In: Al-Emran, M., Al-Sharafi, M.A., Shaalan, K. (eds) International Conference on Information Systems and Intelligent Applications. ICISIA 2022. Lecture Notes in Networks and Systems, vol 550. Springer, Cham. https://doi.org/10.1007/978-3-031-16865-9_51
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