- Eighth International Symposium “Monitoring of Mediterranean Coastal Areas. Problems and Measurement Techniques”
- Edited by Laura Bonora, Donatella Carboni, Matteo De Vincenzi
Monitoring online perception of environmental issues on coasts of Sicily
- Damiano De Marchi
- Mirko Lalli
- Alessandro Mancini
- © 2020 Author(s) |
- CC BY 4.0
- DOI: 10.36253/978-88-5518-147-1.21
The analysis of big data on human experience (reviews, comments, ratings, etc.) can provide valuable insights to companies and institutions. This pioneer study applied the artificial intelligence proprietary tools of The Data Appeal Company for a different aim: monitoring the online perception of environmental issues on 88 beaches of Sicily. Results proved that it is possible to monitor environmental situation even to sites where there are no other kind of monitoring, using as bases the free and available contents posted by humans online, processed and analyzed by artificial intelligence
- Keywords:
- Big Data,
- Artificial Intelligence,
- Perception,
- Environmental monitoring,
- Coastal areas,
- Sentiment Analysis,
The Data Appeal Company, Italy
The Data Appeal Company, Italy
The Data Appeal Company, Italy
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Chapter Information
Chapter Title
Monitoring online perception of environmental issues on coasts of Sicily
Authors
Damiano De Marchi, Mirko Lalli, Alessandro Mancini
Language
English
DOI
10.36253/978-88-5518-147-1.21
Peer Reviewed
Publication Year
2020
Copyright Information
© 2020 Author(s)
Content License
Metadata License
Bibliographic Information
Book Title
Eighth International Symposium “Monitoring of Mediterranean Coastal Areas. Problems and Measurement Techniques”
Book Subtitle
Livorno (Italy) June 2020
Editors
Laura Bonora, Donatella Carboni, Matteo De Vincenzi
Peer Reviewed
Publication Year
2020
Copyright Information
© 2020 Author(s)
Content License
Metadata License
Publisher Name
Firenze University Press
DOI
10.36253/978-88-5518-147-1
eISBN (pdf)
978-88-5518-147-1
eISBN (xml)
978-88-5518-148-8
Series Title
Proceedings e report
Series ISSN
2704-601X
Series E-ISSN
2704-5846