Sentiment analysis on COVID vaccine in India | |
| Author | Kumar, Satika Vinay |
| Call Number | AIT RSPR no.RS-22-06 |
| Subject(s) | COVID-19 (Disease)--Vaccination--Data processing--India Sentiment analysis |
| Note | A research submitted in partial fulfillment of the requirements for the degree of Master of Science in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Abstract | Outbreak of COVID-19 has affected every country. Scientists developed covid vaccine in a shorter period of time without compromising in the procedures but still some section of people are sceptic about the vaccine and its effects and they share those views online in social media, these views can be examined to identify concerns. Policies can be formed to answer those concerns to make people feel better. In this regard, this study suggests an approach for examining Indian’s and American's views on the COVID vaccination using Twitter datasets of India and USA locations. Twarc2 python library is used to extract tweets of India and USA locations at four different time periods and after cleaning this datasets Sentiment analysis was performed on those datasets by using Textblob library and after sentiment analysis LDA was performed on the negative sentiment tweets to get topics and further analysis can be done on those words under this topics to understand what are the concerns associated with the tweets which are holding words from same or different topics. Results indicated that positive sentiment of Indians has decreased slightly from first wave to third wave but during fourth wave it was increased a bit, while positive sentiment of Americans has grown from first wave to second but it was dropped during third wave but in the last dataset it was increased. In topic modelling of negative datasets of Indians and Americans, it was found that vaccine side effects are the common concerns between Indians and Americans in second, third and fourth datasets and many people are doubting about vaccines efficiency as covid virus is mutating and spreading rapidly. |
| Year | 2022 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing and Geographic Information Systems (RS) |
| Chairperson(s) | Chutiporn Anutariya |
| Examination Committee(s) | Tripathi, Nitin Kumar;Mozumder, Chitrini |
| Scholarship Donor(s) | AIT Fellowship |
| Degree | Research Studies Project Report (M.Sc.) - Asian Institute of Technology, 2022 |