Investigation of Death Due COVID19 Based on Tweeter DataSet’s Sentiment Analysis Using Deep Learning

The coronavirus disease, or COVID19, characters “CO” stand for for the corona, “VI” as virus, & “D” for disease in the context of the word COVID. It describes an infectious disease brought on by a recently found coronavirus causing disruption in every country across the world. In all, over 230 nations become affected by COVID-19, and more than 1,330,000,000 individuals are diagnosed globally. Of those, around 7 million individuals have die as a result of this deadly illness. thus, COVID19 has been declared a global epidemic. For this study COVID-19 social media data is used. In this paper, the extraction of Twitter data, initial data processing, evaluation of sentiment were thoroughly investigated with respect to world, USA and India for which tweeter data set is used taen from WHO dataport website. Alter LSTM is used to investigate relation between people sentiment and death due to COVID19. For alculating sentiments NLTK is used along with some other libraries.