Public Sentiment Analysis on COVID-19 Vaccination from Social Media Comments in Bangladesh

Ashfaquer Rahat Siddique, B. M. Anisuzzaman, Tareq Al Mamun,Md. Saddam Hossain Mukta,Khondaker A. Mamun

Lecture notes in electrical engineering(2023)

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摘要
Corona is a super virus that is storming the world, and COVID-19 has already been recognized as one of the deadliest pandemics. Herd immunity is the only solution to stop such epidemic, and a vaccine is the fastest means to reach there. But we have to remember that, it is the vaccination, not the vaccine that can stop the virus. To control the disease, government has to take proper campaign to educate and make people aware about the necessity of taking the vaccine eradicating the misinformation about it. There are different opinions and judgements present among the general people. In our study, we have used social media comments from different posts and news as data to predict users’ sentiment in the context of Bangladeshi demographics. We have scrapped the comments from social media platforms and analyzed their sentiments. We have used KNN, Gaussian, and Naive Bayes classifiers to check which one gives better result. From the study, we could find out that 38.81% people show positive, 27.44% people show negative, and around 33.74% people show neutral sentiment toward the vaccination. The Bangladeshi government has to take proper steps to remove the fear of vaccine before implementing the mass vaccination program as the number of people with positive sentiment is not very high.
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public sentiment analysis,social media comments,sentiment analysis,vaccination,social media
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