Vaccine Perspective in the COVID-19 Era: Analysis of Twitter Data


Şahiner A. , Polat K. K. , Özer H. Ü.

International Conference on Advance Engineering, Technology and Applications ICEATA-2021, İstanbul, Turkey, 9 - 10 July 2021, pp.176-180

  • Publication Type: Conference Paper / Full Text
  • City: İstanbul
  • Country: Turkey
  • Page Numbers: pp.176-180

Abstract

Nowadays, preventive treatments are being developed for the COVID-19 epidemic, which affects all social life. One of these treatments is vaccination studies. Since the subject of vaccination has been discussed by people from past to present, it increases the importance of revealing the approach in this period. In this context, the aim of the study is to determine people's approaches to COVID-19 vaccines through their Tweets. The sentiment analysis method was used within the scope of the study. With this widely used method, the data obtained from Kaggle were analyzed. As a result of the research of the open data set consisting of Tweets related to the Pfizer & BioNTech vaccine, with the LSTM model, in reaching the best accuracy value; The activation function was obtained as "softmax", the epoch value as "10" and the batch size value as "128" appear as remarkable results.