Sentiment Analysis on Wearing Mask during COVID19 pandemic in India: A case study on Twitter

ABSTRACT

The ongoing pandemic, which is initiated in Wuhan, China, the rapid spread of Coronavirus disease (COVID-19) has caused public health crises regionally and internationally. According to World Health Organization (WHO), the virus can spread from an infected person's mouth or nose. Therefore, WHO has given various guidelines to be followed by people as precautions, among them, wearing a face mask is also one among them. So, in the proposed paper sentiment analysis will be performed to study public views on wearing masks, even after getting vaccinated. The purpose of this study is to analyze tweets by Indian citizens on problems due to wearing masks during the COVID-19 pandemic. Data analysis was conducted by several classification algorithms based on Artificial Immune System algorithms (AIS), which are a new deep-learning model for text analysis and performance, and results are also compared with other models such as Naïve Bayes (NB), Support Vector Machines (SVM), etc. © The Electrochemical Society