Capitolo

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,
+ Mostra di più

Damiano De Marchi

The Data Appeal Company, Italy

Mirko Lalli

The Data Appeal Company, Italy

Alessandro Mancini

The Data Appeal Company, Italy

  1. EMC and IDC (2014) - The digital universe of opportunities, Infobrief, April
  2. Hu M., Liu B. (2004) - Mining and summarizing customer reviews. In Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining (KDD ’04). Association for Computing Machinery, New York, NY, USA, pp 168–177. DOI: 10.1145/1014052.1014073
  3. Duan, W, Gu, B & Whinston, AB (2008) - The dynamics of online word-of-mouth and product sales-An empirical investigation of the movie industry, Journal of Retailing, vol. 84, no. 2, pp. 233-242. DOI: 10.1016/j.jretai.2008.04.005
  4. Forman C., Ghose A., Wiesenfeld, B. (2008) - Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets, Information Systems Research 19, pp 291-313. DOI: 10.1287/isre.1080.0193
  5. Elwalda A., Lü K. Ali M. (2016) - Perceived derived attributes of online customer reviews, in Computers in Human Behavior 56 pp. 306-319. DOI: 10.1016/j.chb.2015.11.051
  6. Zhu F., Zhang X. (2010) – Impact of online consumer reviews on sales: the moderating role of product and consumer characteristics, J. Mark. 74 pp. 133–148. DOI: 10.1509/jm.74.2.133
  7. Mudambi S.M., Schuff D. (2010) What makes a helpful online review? A study of customer reviews on amazon.com, MIS Q. 34 (2010) pp. 185–200 DOI: 10.2307/20721420
  8. Iqbal R., Doctor F., More B., Mahmud S., Yousuf, U. (2016) - Big Data analytics: Computational intelligence techniques and application areas. International Journal of Information Management DOI: 10.1016/j.techfore.2018.03.024
  9. Yadollahi A., Shahraki A., Zaiane O. (2017) - Current State of Text Sentiment Analysis from Opinion to Emotion Mining. ACM Computing Surveys. pp. 1-33 DOI: 10.1145/3057270
  10. Kang D., Park, Y. (2014) - Review based measurement of customer satisfaction in mobile service: Sentiment analysis and VIKOR approach. Expert Systems with Applications, 41(4), pp. 1041–1050 DOI: 10.1016/j.eswa.2013.07.101
  11. Soleymani M.et al. (2017) - A survey of multimodal sentiment analysis, in: Image and Vision Computing, vol. 65, pp. 3-14. DOI: 10.1016/j.imavis.2017.08.003
  12. Neurocomputing vol. 403 (2020), Elsevier
  13. Information Sciences vol. 532 (2020), Elsevier
PDF
  • Anno di pubblicazione: 2020
  • Pagine: 214-218

XML
  • Anno di pubblicazione: 2020

Informazioni sul capitolo

Titolo del capitolo

Monitoring online perception of environmental issues on coasts of Sicily

Autori

Damiano De Marchi, Mirko Lalli, Alessandro Mancini

Lingua

English

DOI

10.36253/978-88-5518-147-1.21

Opera sottoposta a peer review

Anno di pubblicazione

2020

Copyright

© 2020 Author(s)

Licenza d'uso

CC BY 4.0

Licenza dei metadati

CC0 1.0

Informazioni bibliografiche

Titolo del libro

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

Sottotitolo del libro

Livorno (Italy) June 2020

Curatori

Laura Bonora, Donatella Carboni, Matteo De Vincenzi

Opera sottoposta a peer review

Anno di pubblicazione

2020

Copyright

© 2020 Author(s)

Licenza d'uso

CC BY 4.0

Licenza dei metadati

CC0 1.0

Editore

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

Collana

Proceedings e report

ISSN della collana

2704-601X

e-ISSN della collana

2704-5846

289

Download dei libri

392

Visualizzazioni

Salva la citazione

1.383

Libri in accesso aperto

in catalogo

2.567

Capitoli di Libri

4.133.292

Download dei libri

4.947

Autori

da 1047 Istituzioni e centri di ricerca

di 66 Nazioni

69

scientific boards

da 368 Istituzioni e centri di ricerca

di 43 Nazioni

1.300

I referee

da 393 Istituzioni e centri di ricerca

di 38 Nazioni