WITHDRAWN: Sentiment Analysis of COVID-19 Vaccination from Survey Responses in Bangladesh.

Abstract

Objectives: The COVID-19 pandemic is among the most serious global threats, and it is still a significant concern. The people of Bangladesh are undergoing one of the world's largest vaccination drive. With the recent launch and introduction of the COVID-19 vaccines, many of us are curious about the general opinion or view of the vaccine. While the vaccine has ignited new hope in the battle against COVID-19, it has also sparked militant anti-vaccine campaigns, so the need to analyze public opinion on the COVID-19 vaccine has emerged. Methods: Traditional machine learning methods were used to obtain a benchmark result for the experiment. The recurrent neural network (RNN) algorithm was used next. Several different types of recurrent neural networks were used, including simple RNNs, Gated Recurrent Units (GRUs), and LSTMs. Finally, to achieve a more optimal result, small BERT models (Bidirectional Encoder Representations from Transformers) were used. Results: Upon study and testing on several models and methods, it can be seen that BERT model was the most accurate of the bunch, which was 84%. On the other hand, Naive Bayes was able to obtain an accuracy of 81%. Naive Bayes and BERT produced similar results in F1- Score, but the performance of Naive Bayes can improve as the dataset size grows. Conclusion: Knowing about public opinions on the COVID-19 vaccine is critical, and action must be taken to ensure that everybody understands the value of vaccination and that everybody receives the COVID-19 vaccine. Vaccination may help to develop immunity, which lowers the likelihood of contracting the disease and its consequences.

Public Perception Towards Children's COVID-19 Vaccination with Natural Language Processing

“…Also, Sentiment analysis is a computer tool of NLP that researchers use to identify the public's point of view on a topic [48]. With the use of sentiment analysis, people's emotions can be interpreted and the interpreted emotions can be used where necessary for any organization [49], [50].…”

AI Assisted Attention Mechanism for Hybrid Neural Model to Assess Online Attitudes About COVID-19

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“…After the multiplication of the value matrix to the product of query and key metrics, a softmax function is applied to get a more probabilistic output from the given tensor shown in the Eq. (12). Each head produces an output vector Y j , that is combined into a single vector O M before proceeding to the final linear layer as shown in the Eqs.…”

“…In contrast, LSTM is more effective since it contains two more gates, the "Forgot gate" and the "Output gate". Moreover, the LSTM incorporates a feedback loop that aids in the processing of both sequential and single data points [12]. Even biLSTM models are ineffective in capturing the real meaning of words because the true context is lost as they learn the "right-to-left" and "left-to-right" contexts separately before combining them.…”

Grading System Prediction of Educational Performance Analysis Using Data Mining Approach

“…The progressive emphasis on the education data mining system has formerly made a modern experimental method called Educational Data Mining (EDM), which is outbound and concerned with thriving methods for analyzing educational data to understand learners better [3][4]. It is attached to various techniques like decision trees, k-nearest neighbors, association rules, neural networks, genetic algorithms, exploratory factor analysis, and step-wise regression.…”