University of Hertfordshire

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Emotional analysis of safeness and risk perception of London and Rome railway stations during the COVID-19 pandemic. / Garcia, Fabio; Borghini, Francesco; Lombardi, Mara; Canfora, Sapienza; Ramalingam, Soodamani.

2021. Paper presented at IEEE ICCST 2021: 54th IEEE International Carnahan Conference on Security Technology, United Kingdom.

Research output: Contribution to conferencePaperpeer-review

Harvard

Garcia, F, Borghini, F, Lombardi, M, Canfora, S & Ramalingam, S 2021, 'Emotional analysis of safeness and risk perception of London and Rome railway stations during the COVID-19 pandemic', Paper presented at IEEE ICCST 2021: 54th IEEE International Carnahan Conference on Security Technology, United Kingdom, 11/10/21 - 15/10/21.

APA

Garcia, F., Borghini, F., Lombardi, M., Canfora, S., & Ramalingam, S. (2021). Emotional analysis of safeness and risk perception of London and Rome railway stations during the COVID-19 pandemic. Paper presented at IEEE ICCST 2021: 54th IEEE International Carnahan Conference on Security Technology, United Kingdom.

Vancouver

Garcia F, Borghini F, Lombardi M, Canfora S, Ramalingam S. Emotional analysis of safeness and risk perception of London and Rome railway stations during the COVID-19 pandemic. 2021. Paper presented at IEEE ICCST 2021: 54th IEEE International Carnahan Conference on Security Technology, United Kingdom.

Author

Garcia, Fabio ; Borghini, Francesco ; Lombardi, Mara ; Canfora, Sapienza ; Ramalingam, Soodamani. / Emotional analysis of safeness and risk perception of London and Rome railway stations during the COVID-19 pandemic. Paper presented at IEEE ICCST 2021: 54th IEEE International Carnahan Conference on Security Technology, United Kingdom.6 p.

Bibtex

@conference{2f12772c71194db68c22412cdc7a1e90,
title = "Emotional analysis of safeness and risk perception of London and Rome railway stations during the COVID-19 pandemic",
abstract = "The evaluation of perceived safeness and risk by persons is particularly valuable for safety and security handling. Each individual is influenced by others{\textquoteright} 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. ",
author = "Fabio Garcia and Francesco Borghini and Mara Lombardi and Sapienza Canfora and Soodamani Ramalingam",
note = "{\textcopyright} 2021 IEEE. ; IEEE ICCST 2021: 54th IEEE International Carnahan Conference on Security Technology : Online, hosted by the University of Hertfordshire Hatfield, UK, IEEE ICCST2021 ; Conference date: 11-10-2021 Through 15-10-2021",
year = "2021",
month = oct,
day = "15",
language = "English",
url = "https://site.ieee.org/iccst/2021-on-zoom-hosted-by-the-university-of-hertfordshire-hatfield-uk/",

}

RIS

TY - CONF

T1 - Emotional analysis of safeness and risk perception of London and Rome railway stations during the COVID-19 pandemic

AU - Garcia, Fabio

AU - Borghini, Francesco

AU - Lombardi, Mara

AU - Canfora, Sapienza

AU - Ramalingam, Soodamani

N1 - Conference code: 49569

PY - 2021/10/15

Y1 - 2021/10/15

N2 - 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.

AB - 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.

M3 - Paper

T2 - IEEE ICCST 2021: 54th IEEE International Carnahan Conference on Security Technology

Y2 - 11 October 2021 through 15 October 2021

ER -