Book Chapter

Monitoring online perception of environmental issues on coasts of Sicily

  • Damiano De Marchi
  • Mirko Lalli
  • Alessandro Mancini

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,
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Damiano De Marchi

The Data Appeal Company, Italy

Mirko Lalli

The Data Appeal Company, Italy

Alessandro Mancini

The Data Appeal Company, Italy

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PDF
  • Publication Year: 2020
  • Pages: 214-218
  • Content License: CC BY 4.0
  • © 2020 Author(s)

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  • Publication Year: 2020
  • Content License: CC BY 4.0
  • © 2020 Author(s)

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

CC BY 4.0

Metadata License

CC0 1.0

Table of Contents

Book Title

Eighth International Symposium “Monitoring of Mediterranean Coastal Areas. Problems and Measurement Techniques”

Book Subtitle

Livorno (Italy) June 2020

Editors

Donatella Carboni, Matteo De Vincenzi, Laura Bonora

Peer Reviewed

Publication Year

2020

Copyright Information

© 2020 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

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 ISSN

2704-601X

Series E-Issn

2704-5846

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