Emotional analysis of safeness and risk perception of drones during the COVID-19 pandemic in Italy

Fabio Garcia; Francesco Borghini; Mara Lombardi; Antonello Gallone; Soodamani Ramalingam

Emotional analysis of safeness and risk perception of drones during the COVID-19 pandemic in Italy

Fabio Garcia, Francesco Borghini, Mara Lombardi, Antonello Gallone, Soodamani Ramalingam

Research output: Contribution to conference › Paper › peer-review

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Abstract

The estimation of perceived safeness and risk by individuals is very significant for safety and security managing. Every person is based on the judgments of other persons to do a choosing and the Internet personifies the location where these judgments are mostly tracked, obtained, and assessed. From this point of view, social networks have a significant influence. For this reason, Opinion Mining and Sentiment Analysis have found remarkable utilizes in a multiplicity of circumstances and one of the most notable is represented by public safety and security. The purpose of the present work is to investigate the perception of safeness and risk of drones during COVID19 pandemic in Italy. It was considered the period from Aprile 15 to December 10, 2020, properly divided into 4 significant phases, highlighting the emotional components using the semantic analysis of the textual contents present in Twitter.

Original language	English
Number of pages	6
Publication status	Published - 15 Oct 2021
Event	IEEE 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 2021 → 15 Oct 2021 Conference number: 49569 https://site.ieee.org/iccst/2021-on-zoom-hosted-by-the-university-of-hertfordshire-hatfield-uk/

Conference

Conference	IEEE ICCST 2021: 54th IEEE International Carnahan Conference on Security Technology
Abbreviated title	IEEE ICCST2021
Country/Territory	United Kingdom
Period	11/10/21 → 15/10/21
Internet address	https://site.ieee.org/iccst/2021-on-zoom-hosted-by-the-university-of-hertfordshire-hatfield-uk/

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title = "Emotional analysis of safeness and risk perception of drones during the COVID-19 pandemic in Italy",

abstract = "The estimation of perceived safeness and risk by individuals is very significant for safety and security managing. Every person is based on the judgments of other persons to do a choosing and the Internet personifies the location where these judgments are mostly tracked, obtained, and assessed. From this point of view, social networks have a significant influence. For this reason, Opinion Mining and Sentiment Analysis have found remarkable utilizes in a multiplicity of circumstances and one of the most notable is represented by public safety and security. The purpose of the present work is to investigate the perception of safeness and risk of drones during COVID19 pandemic in Italy. It was considered the period from Aprile 15 to December 10, 2020, properly divided into 4 significant phases, highlighting the emotional components using the semantic analysis of the textual contents present in Twitter. ",

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T1 - Emotional analysis of safeness and risk perception of drones during the COVID-19 pandemic in Italy

AU - Garcia, Fabio

AU - Borghini, Francesco

AU - Lombardi, Mara

AU - Gallone, Antonello

AU - Ramalingam, Soodamani

N1 - Conference code: 49569

PY - 2021/10/15

Y1 - 2021/10/15

N2 - The estimation of perceived safeness and risk by individuals is very significant for safety and security managing. Every person is based on the judgments of other persons to do a choosing and the Internet personifies the location where these judgments are mostly tracked, obtained, and assessed. From this point of view, social networks have a significant influence. For this reason, Opinion Mining and Sentiment Analysis have found remarkable utilizes in a multiplicity of circumstances and one of the most notable is represented by public safety and security. The purpose of the present work is to investigate the perception of safeness and risk of drones during COVID19 pandemic in Italy. It was considered the period from Aprile 15 to December 10, 2020, properly divided into 4 significant phases, highlighting the emotional components using the semantic analysis of the textual contents present in Twitter.

AB - The estimation of perceived safeness and risk by individuals is very significant for safety and security managing. Every person is based on the judgments of other persons to do a choosing and the Internet personifies the location where these judgments are mostly tracked, obtained, and assessed. From this point of view, social networks have a significant influence. For this reason, Opinion Mining and Sentiment Analysis have found remarkable utilizes in a multiplicity of circumstances and one of the most notable is represented by public safety and security. The purpose of the present work is to investigate the perception of safeness and risk of drones during COVID19 pandemic in Italy. It was considered the period from Aprile 15 to December 10, 2020, properly divided into 4 significant phases, highlighting the emotional components using 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 -

Emotional analysis of safeness and risk perception of drones during the COVID-19 pandemic in Italy

Abstract

Conference

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