The evaluation of perceived safeness and risk by persons is particularly valuable for safety and security handling. Each individual is influenced by others’ opinions on safety and security and the Internet embodies the place where these opinions are mostly pursued, acquired, and estimated. From this point of view, social networks play a considerable influential role. For this reason, Opinion Mining and Sentiment Analysis have found noteworthy uses in a variety of situations and one of the most interesting is embodied by public safety and security. The goal of this work is to examine the perception of safety and risk within the railway stations of London (UK) and Rome (Italy) during COVID-19 pandemic. In particular, the railway stations of London Victoria and Waterloo and the railway stations of Rome Termini and Tiburtina were considered, from March 23 to July 9, 2020, highlighting the emotional components in three distinct pandemic phases of the considered period in the two countries, by means of the semantic analysis of the textual contents present in Twitter.
|Number of pages
|Accepted/In press - 7 Nov 2021
|IEEE ICCST 2021: 54th IEEE International Carnahan Conference on Security Technology - Online, hosted by the University of Hertfordshire, Hatfield, United Kingdom
Duration: 11 Oct 2021 → 15 Oct 2021
Conference number: 49569
|IEEE ICCST 2021: 54th IEEE International Carnahan Conference on Security Technology
|11/10/21 → 15/10/21
|The International Carnahan Conference on Security Technology, sponsored by IEEE, is one of the longest running international technical symposia. This conference has a broad scope and invites papers on advanced security technologies including physical, cyber and electronic security research, development, systems engineering, testing, evaluation, case studies and new research lines to face current and future challenges.