Skip to main content

Analysis of Consumers Perceptions of Food Safety Risk in Social Networks

  • Conference paper
  • First Online:

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 926))

Abstract

Data analysis is increasingly becoming a fundamental competence for the success of companies, but also in many social phenomena. Particular attention deserves the health sector because compared to others, and especially compared to the economic one, it has fewer case studies in which the social network analysis has been applied and, therefore, its potential has not yet been fully understood and adequately exploited. Taking into account this consideration, in this paper we investigate a methodology for semantic analysis of textual information obtained from social media streams, in order to perform an early identification of food contaminations. As a case study, we consider a set of reviews gathered from the social network Yelp [1], on which we perform the textual analysis foreseen in the proposed methodology.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  1. The Free Encyclopedia Wikipedia. Yelp

    Google Scholar 

  2. SDA Bocconi: Rapporto oasi 2018 - osservatorio sulle aziende e sul sistema sanitario italiano (2018)

    Google Scholar 

  3. Effland, T., Lawson, A., Balter, S., Devinney, K., Reddy, V., Waechter, H., Gravano, L., Hsu, D.: Discovering foodborne illness in online restaurant reviews. J. Am. Med. Inform. Assoc. ocx093 (2018)

    Google Scholar 

  4. Amato, F., Moscato, V., Picariello, A., Piccialli, F.: SOS: a multimedia recommender system for online social networks. Future Gener. Comput. Syst. 93, 914–923 (2017)

    Article  Google Scholar 

  5. Piccialli, F., Chianese, A.: The Internet of Things supporting context-aware computing: a cultural heritage case study. Mob. Netw. Appl. 22(2), 332–343 (2017)

    Article  Google Scholar 

  6. Amato, F., Moscato, V., Picariello, A., Sperlì, G.: Multimedia social network modeling: a proposal. In: 2016 IEEE Tenth International Conference on Semantic Computing (ICSC), pp. 448–453. IEEE (2016)

    Google Scholar 

  7. Balzano, W., Murano, A., Stranieri, S.: Logic-based clustering approach for management and improvement of VANETs. J. High Speed Netw. 23(3), 225–236 (2017)

    Article  Google Scholar 

  8. Balzano, W., Vitale, F.: DiG-park: a smart parking availability searching method using V2V/V2I and DGP-class problem. In: 2017 31st International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 698–703. IEEE (2017)

    Google Scholar 

  9. Balzano, W., Murano, A., Vitale, F.: Hypaco–a new model for hybrid paths compression of geodetic tracks. In: The International Conference on Data Compression, Communication, Processing and Security, CCPS-2016 (2016)

    Google Scholar 

  10. The Apache Hadoop project. Apache hadoop

    Google Scholar 

  11. Javanmardi, S., Shojafar, M., Shariatmadari, S., Ahrabi, S.S.: FR trust: a fuzzy reputation-based model for trust management in semantic P2P grids. Int. J. Grid Utility Comput. 6(1), 57–66 (2015)

    Article  Google Scholar 

  12. Pratt, A.W., Pacak, M.: Identification and transformation of terminal morphemes in medical English. Methods Inf. Med. 8(2), 84–90 (1969)

    Google Scholar 

  13. Wolff, S.: The use of morphosemantic regularities in the medical vocabulary for automatic lexical coding. Methods Inf. Med. 23(4), 195–203 (1984)

    Article  Google Scholar 

  14. Norton, L.M., Pacak, M.G.: Morphosemantic analysis of compound word forms denoting surgical procedures. Methods Inf. Med. 22(1), 29–36 (1983)

    Article  Google Scholar 

  15. Lovis, C., Baud, R., Rassinoux, A.-M., Michel, P.-A., Scherrer, J.-R.: Medical dictionaries for patient encoding systems: a methodology. Artif. Intell. Med. 14(1), 201–214 (1998)

    Article  Google Scholar 

  16. Hahn, U., Honeck, M., Piotrowski, M., Schulz, S.: Subword segmentation–leveling out morphological variations for medical document retrieval. In: Proceedings of the AMIA Symposium, p. 229. American Medical Informatics Association (2001)

    Google Scholar 

  17. Grabar, N., Zweigenbaum, P.: Automatic acquisition of domain-specific morphological resources from thesauri. In: Proceedings of RIAO, pp. 765–784. Citeseer (2000)

    Google Scholar 

  18. Xhafa, F., Barolli, L.: Semantics, intelligent processing and services for big data. Future Gener. Comput. Syst. 37, 201–202 (2014)

    Article  Google Scholar 

  19. Moore, P., Xhafa, F., Barolli, L.: Semantic valence modeling: emotion recognition and affective states in context-aware systems. In: Proceedings - 2014 IEEE 28th International Conference on Advanced Information Networking and Applications Workshops, IEEE WAINA 2014, pp. 536–541 (2014)

    Google Scholar 

  20. Xhafa, F., Asimakopoulou, E., Bessis, N., Barolli, L., Takizawa, M.: An event-based approach to supporting team coordination and decision making in disaster management scenarios. In: 2011 Third International Conference on Intelligent Networking and Collaborative Systems (INCoS), pp. 741–745. IEEE (2011)

    Google Scholar 

  21. Fette, G., Ertl, M., Wörner, A., Kluegl, P., Störk, S., Puppe, F.: Information extraction from unstructured electronic health records and integration into a data warehouse. In: GI-Jahrestagung, pp. 1237–1251 (2012)

    Google Scholar 

  22. Rink, B., Harabagiu, S., Roberts, K.: Automatic extraction of relations between medical concepts in clinical texts. J. Am. Med. Inf. Assoc. 18(5), 594–600 (2011)

    Article  Google Scholar 

  23. Doan, S., Bastarache, L., Klimkowski, S., Denny, J.C., Xu, H.: Integrating existing natural language processing tools for medication extraction from discharge summaries. J. Am. Med. Inf. Assoc. 17(5), 528–531 (2010)

    Article  Google Scholar 

  24. Amato, F., Cozzolino, G., Moscato, F., Moscato, V., Picariello, A., Sperli, G.: Data mining in social network. Smart Innov. Syst. Technol. 98, 53–63 (2019)

    Article  Google Scholar 

  25. Fusella, E., Cilardo, A.: Minimizing power loss in optical networks-on-chip through application-specific mapping. Microprocess. Microsyst. 43, 4–13 (2016)

    Article  Google Scholar 

  26. Fusella, E., Cilardo, A.: H2ONoC: a hybrid optical–electronic NoC based on hybrid topology. IEEE Trans. Very Large Scale Integration (VLSI) Syst. 25(1), 330–343 (2017)

    Google Scholar 

  27. Cilardo, A.: Exploring the potential of threshold logic for cryptography-related operations. IEEE Trans. Comput. 60(4), 452–462 (2011)

    Article  MathSciNet  Google Scholar 

  28. Amato, F., Moscato, V., Picariello, A., Piccialli, F., Sperlí, G.: Centrality in heterogeneous social networks for lurkers detection: an approach based on hypergraphs. Concurrency Comput.: Pract. Experience 30(3), e4188 (2018)

    Article  Google Scholar 

  29. Chianese, A., Marulli, F., Piccialli, F., Valente, I.: A novel challenge into multimedia cultural heritage: an integrated approach to support cultural information enrichment. In: 2013 International Conference on Signal-Image Technology & Internet-Based Systems (SITIS), pp. 217–224. IEEE (2013)

    Google Scholar 

  30. Piccialli, F., Jung, J.E.: Understanding customer experience diffusion on social networking services by big data analytics. Mob. Netw. Appl. 22(4), 605–612 (2017)

    Article  Google Scholar 

  31. Adolfo Morrone Sergio Bolasco, Francesco Baiocchi. Taltac

    Google Scholar 

  32. The GATE project team. Gate

    Google Scholar 

  33. D’Acierno, A., Moscato, V., Persia, F., Picariello, A., Penta, A.: iWIN: a summarizer system based on a semantic analysis of web documents. In: Proceedings - IEEE 6th International Conference on Semantic Computing, ICSC 2012, pp. 162–169 (2012)

    Google Scholar 

  34. Albanese, M., D’acierno, A., Moscato, V., Persia, F., Picariello, A.: Modeling recommendation as a social choice problem. In: Proceedings of the 4th ACM Conference on Recommender Systems, RecSys 2010, pp. 329–332 (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Giovanni Cozzolino .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Amato, A., Balzano, W., Cozzolino, G., Moscato, F. (2020). Analysis of Consumers Perceptions of Food Safety Risk in Social Networks. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2019. Advances in Intelligent Systems and Computing, vol 926. Springer, Cham. https://doi.org/10.1007/978-3-030-15032-7_102

Download citation

Publish with us

Policies and ethics