Publication

Abstract : Social Media platforms contain a huge data collection of shared and personal thinking with respect to a wide assortment of subjects, communicated and spread ceaselessly by their users. Among those platforms, Twitter is gaining immense popularity. This research work proposes a system to computationally measure the emotions of live tweets by their users and emotions regarding the government's decision on extending the lockdown. The system consists of dashboard with various functionalities. Main dashboard has country-wise data visualization of the emotions derived from the tweets, it has clickable map of India which shows state-wise data visualization as well. Live emotion prediction of tweets is achieved using Deep Learning tools. Tweet fetching is dynamic to get up-to-date data automatically. Resources tab is available for COVID-19 related statistics and news. 250 plus days since the initial stage COVID-19 case in the World, and 180+ days into the most punctual Lockdown Order of India, how is the people thinking in circumstances such as these? The Corona Virus imperils our physical wellbeing to be sure, however close by, social separating additionally represents a danger to our enthusiastic steadiness. Accordingly, it is vital to comprehend public emotions under COVID-19.