Sentiment and Emotional Analysis of Risk Perception in the Herculaneum Archaeological Park during COVID-19 Pandemic
This paper proposes a methodology for sentiment analysis with emphasis on the emotional aspects of people visiting the Herculaneum Archaeological Park in Italy during the period of the COVID-19 pandemic. The methodology provides a valuable means of continuous feedback on perceived risk of the site....
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-10-01
|
| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/21/8138 |
| _version_ | 1797466554448740352 |
|---|---|
| author | Fabio Garzia Francesco Borghini Alberto Bruni Mara Lombardi Ludovica Minò Soodamani Ramalingam Giorgia Tricarico |
| author_facet | Fabio Garzia Francesco Borghini Alberto Bruni Mara Lombardi Ludovica Minò Soodamani Ramalingam Giorgia Tricarico |
| author_sort | Fabio Garzia |
| collection | DOAJ |
| description | This paper proposes a methodology for sentiment analysis with emphasis on the emotional aspects of people visiting the Herculaneum Archaeological Park in Italy during the period of the COVID-19 pandemic. The methodology provides a valuable means of continuous feedback on perceived risk of the site. A semantic analysis on Twitter text messages provided input to the risk management team with which they could respond immediately mitigating any apparent risk and reducing the perceived risk. A two-stage approach was adopted to prune a massively large dataset from Twitter. In the first phase, a social network analysis and visualisation tool NodeXL was used to determine the most recurrent words, which was achieved using polarity. This resulted in a suitable subset. In the second phase, the subset was subjected to sentiment and emotion mapping by survey participants. This led to a hybrid approach of using automation for pruning datasets from social media and using a human approach to sentiment and emotion analysis. Whilst suffering from COVID-19, equally, people suffered due to loneliness from isolation dictated by the World Health Organisation. The work revealed that despite such conditions, people’s sentiments demonstrated a positive effect from the online discussions on the Herculaneum site. |
| first_indexed | 2024-03-09T18:41:27Z |
| format | Article |
| id | doaj.art-cd4b30fff9e84441939917472b8bf93b |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T18:41:27Z |
| publishDate | 2022-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-cd4b30fff9e84441939917472b8bf93b2023-11-24T06:43:18ZengMDPI AGSensors1424-82202022-10-012221813810.3390/s22218138Sentiment and Emotional Analysis of Risk Perception in the Herculaneum Archaeological Park during COVID-19 PandemicFabio Garzia0Francesco Borghini1Alberto Bruni2Mara Lombardi3Ludovica Minò4Soodamani Ramalingam5Giorgia Tricarico6Safety & Security Engineering Group–DICMA, SAPIENZA–University of Rome, 00184 Rome, ItalySafety & Security Engineering Group–DICMA, SAPIENZA–University of Rome, 00184 Rome, ItalySafety & Security Project & Smart Pompeii Project, Pompeii Archaeological Park, Ministry of Culture, 80045 Pompeii, ItalySafety & Security Engineering Group–DICMA, SAPIENZA–University of Rome, 00184 Rome, ItalySafety & Security Engineering Group–DICMA, SAPIENZA–University of Rome, 00184 Rome, ItalySchool of Physics, Engineering and Computer Sciences, University of Hertfordshire, Hatfield AL10 9EU, UKSafety & Security Engineering Group–DICMA, SAPIENZA–University of Rome, 00184 Rome, ItalyThis paper proposes a methodology for sentiment analysis with emphasis on the emotional aspects of people visiting the Herculaneum Archaeological Park in Italy during the period of the COVID-19 pandemic. The methodology provides a valuable means of continuous feedback on perceived risk of the site. A semantic analysis on Twitter text messages provided input to the risk management team with which they could respond immediately mitigating any apparent risk and reducing the perceived risk. A two-stage approach was adopted to prune a massively large dataset from Twitter. In the first phase, a social network analysis and visualisation tool NodeXL was used to determine the most recurrent words, which was achieved using polarity. This resulted in a suitable subset. In the second phase, the subset was subjected to sentiment and emotion mapping by survey participants. This led to a hybrid approach of using automation for pruning datasets from social media and using a human approach to sentiment and emotion analysis. Whilst suffering from COVID-19, equally, people suffered due to loneliness from isolation dictated by the World Health Organisation. The work revealed that despite such conditions, people’s sentiments demonstrated a positive effect from the online discussions on the Herculaneum site.https://www.mdpi.com/1424-8220/22/21/8138cultural sitesrisk sentiment analysisTwitteropinion miningOSINTHerculaneum Archaeological Park |
| spellingShingle | Fabio Garzia Francesco Borghini Alberto Bruni Mara Lombardi Ludovica Minò Soodamani Ramalingam Giorgia Tricarico Sentiment and Emotional Analysis of Risk Perception in the Herculaneum Archaeological Park during COVID-19 Pandemic Sensors cultural sites risk sentiment analysis opinion mining OSINT Herculaneum Archaeological Park |
| title | Sentiment and Emotional Analysis of Risk Perception in the Herculaneum Archaeological Park during COVID-19 Pandemic |
| title_full | Sentiment and Emotional Analysis of Risk Perception in the Herculaneum Archaeological Park during COVID-19 Pandemic |
| title_fullStr | Sentiment and Emotional Analysis of Risk Perception in the Herculaneum Archaeological Park during COVID-19 Pandemic |
| title_full_unstemmed | Sentiment and Emotional Analysis of Risk Perception in the Herculaneum Archaeological Park during COVID-19 Pandemic |
| title_short | Sentiment and Emotional Analysis of Risk Perception in the Herculaneum Archaeological Park during COVID-19 Pandemic |
| title_sort | sentiment and emotional analysis of risk perception in the herculaneum archaeological park during covid 19 pandemic |
| topic | cultural sites risk sentiment analysis opinion mining OSINT Herculaneum Archaeological Park |
| url | https://www.mdpi.com/1424-8220/22/21/8138 |
| work_keys_str_mv | AT fabiogarzia sentimentandemotionalanalysisofriskperceptionintheherculaneumarchaeologicalparkduringcovid19pandemic AT francescoborghini sentimentandemotionalanalysisofriskperceptionintheherculaneumarchaeologicalparkduringcovid19pandemic AT albertobruni sentimentandemotionalanalysisofriskperceptionintheherculaneumarchaeologicalparkduringcovid19pandemic AT maralombardi sentimentandemotionalanalysisofriskperceptionintheherculaneumarchaeologicalparkduringcovid19pandemic AT ludovicamino sentimentandemotionalanalysisofriskperceptionintheherculaneumarchaeologicalparkduringcovid19pandemic AT soodamaniramalingam sentimentandemotionalanalysisofriskperceptionintheherculaneumarchaeologicalparkduringcovid19pandemic AT giorgiatricarico sentimentandemotionalanalysisofriskperceptionintheherculaneumarchaeologicalparkduringcovid19pandemic |