Emotional analysis of safeness and risk perception of transports and travels by car and motorcycle in London and Rome during the COVID-19 pandemic

Abstract

The estimation of perceived safeness and risk by people is especially invaluable for security and safety managing. Everyone is based on the opinion of other persons to do selections of any kind and the Internet personifies the location where these opinions are primarily tracked, obtained, and assessed. From this point of view, social networks are considered of huge impact. For this reason, Opinion Mining and Sentiment Analysis reached remarkable applications in a diversity of circumstances and one of the most remarkable is expressed by public security and safety. The purpose of the present work is to investigate the perception of risk with transports and travels by car and motorcycles in London (UK) and Rome (Italy) during COVID-19 pandemic, from March 23 to July 9, 2020, underlighting the emotional components in three distinct pandemic phases of the considered period in the two countries, via the semantic analysis of the textual contents existing in Twitter.