University of Hertfordshire

By the same authors

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Original languageEnglish
Number of pages6
Publication statusAccepted/In press - 7 Nov 2021
EventIEEE ICCST 2021: 54th IEEE International Carnahan Conference on Security Technology: Online, hosted by the University of Hertfordshire Hatfield, UK - Online, United Kingdom
Duration: 11 Oct 202115 Oct 2021
Conference number: 49569


ConferenceIEEE ICCST 2021: 54th IEEE International Carnahan Conference on Security Technology
Abbreviated titleIEEE ICCST2021
Country/TerritoryUnited Kingdom
Internet address


The estimation of perceived safeness and risk
by people is especially invaluable for safety and security
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 safety and security.
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.

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