Skip to main content

Sentiment Analysis and City Branding

  • Conference paper
New Trends in Databases and Information Systems

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 241))

Abstract

The Web is a huge virtual space where to express and share individual opinions, influencing any aspect of life, with implications for marketing and communication alike. Social Media are already an important marketing arena.

This paper describes, on one hand, the characteristics of Sentiment Analysis and, on the other hand, the results of its application to an empirical research on the city of Bologna and on its brand perception on the Web.

In the international scenario a growing number of cities compete with each other in order to attract: investors and foreign companies; different types of tourists, and new residents.

City branding can be considered the starting point for developing effective policy of city marketing. The Bologna City Branding Project aims at increasing the effectiveness of territorial marketing policies carried out by the municipality of Bologna.

This study partially confirms and partially rejects what many sectors of the city would have expected from the perception of Bologna on the Web. From the point of view of academic research, it has shown the potential of Sentiment Analysis in the study of perception of the city brand. Further investigations should be made to integrate this approach with the more qualitative and quantitative techniques. From the point of view of the place marketing of cities, the results of this research have shown that place marketing is a complex activity and that, in order to be more effective, an integrated plurality of approaches have to be promoted and used.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Sentiment Analysis Symposium 2011, New York (April 12, 2011)

    Google Scholar 

  2. Pang, B., Lee, L.: Opinion Mining and Sentiment Analysis. Foundations and Trends in Information Retrieval 2(1-2), 1–135 (2008)

    Article  Google Scholar 

  3. Pang, B., Lee, L., Vaithyanathan, S.: Thumbs up? sentiment classification using machine learning techniques. In: Proceedings of the ACL 2002 Conference on Empirical Methods in Natural Language Processing, vol. 10, pp. 79–86 (July 2002)

    Google Scholar 

  4. Socher, R., et al.: Semi-supervised recursive autoencoders for predicting sentiment distributions. In: Proceedings of EMNLP 2011 - the Conference on Empirical Methods in Natural Language Processing, pp. 151–161 (2011) ISBN: 978-1-937284-11-4

    Google Scholar 

  5. Taboada, M., Brooke, J., Tofiloski, M., Voll, K., Stede, M.: Lexicon-Based Methods for Sentiment Analysis. Computational Linguistics 37(2), 267–307 (2011)

    Article  Google Scholar 

  6. Chaovalit, P., Zhou, L.: Movie review mining: A comparison between supervised and unsupervised classification approaches. In: Proceedings of the Hawaii International Conference on System Sciences, HICSS (2005)

    Google Scholar 

  7. Esuli, A., Sebastiani, F.: SentiWordNet: A Publicly Available Lexical Resource for Opinion Mining. In: Proceedings of LREC-2006, Genova, Italy (2006)

    Google Scholar 

  8. Anholt, S.: Branding places and nations. In: Anholt, S. (ed.) Brands and Branding, pp. 213–226. Bloomberg Press, New York (2004)

    Google Scholar 

  9. Florida, R.: The Rise of the Creative Class. Basic Books, New York (2004)

    Google Scholar 

  10. Florida, R.: Cities and the Creative Class. Routledge, New York (2005)

    Google Scholar 

  11. Grandi, R.: Le città creative. Il Mulino 6(10), 1037–1044 (2010)

    Google Scholar 

  12. Grandi, R.: Cultural Planning, City Marketing and Creative Cities: Bologna – from cultural city to creative city? In: Jenei, A. (ed.) Communication with the Public from the Local Government Perspective, pp. 111–132. Corvinus University of Budapest Press, Budapest (2012)

    Google Scholar 

  13. Hospers, G.-J.: Creative Cities in Europe: Urban Competitiveness in the Knowledge Economy. Intereconomics, 260–269 (September/October 2003)

    Google Scholar 

  14. Kavaratzis, M.: From city marketing to city branding: Towards a theoretical framework for developing city brands. Place Branding 1(1), 58–73 (2004)

    Article  Google Scholar 

  15. Zenker, S.: Who’s Your Target? The Creative Class as a Target Group for Place Branding. Journal of Place Management and Development 2(1), 23–32 (2009)

    Article  Google Scholar 

  16. Zenker, S.: How to catch a city? The concept and measurement of place brands. Journal of Place Management and Development 4(1), 40–52 (2011)

    Article  Google Scholar 

  17. Ferraresi, M.: La marca. Costruire un’identità rafforzare un’immagine, Roma, Carocci (2003)

    Google Scholar 

  18. Grandi, R., Miani, M.: L’impresa che comunica. Come creare valore in azienda con la comunicazione, Novara, Isedi – De Agostini (2006)

    Google Scholar 

  19. Semprini, A.: Marche e mondi possibili, Milano, Franco Angeli (1993)

    Google Scholar 

  20. Zenker, S., Braun, E.: Branding a city – a conceptual approach for place branding and place brand management. In: Paper Presented at the 39th European Marketing Academy Conference, Copenhagen, June 1-4, p. 3 (2010)

    Google Scholar 

  21. Ashworth, G.J., Voogd, H.: Selling the City: Marketing Approaches in Public Sector Urban Planning, London, Belhaven (1990)

    Google Scholar 

  22. Kavaratzis, M.: From city marketing to city branding: Towards a theoretical framework for developing city brands. Place Branding 1(1), 70 (2004)

    Article  Google Scholar 

  23. Lucarelli, A., Berg, P.O.: City branding: a state-of-the-art review of the research domain. Journal of Place Management and Development 4(1), 12 (2011)

    Article  Google Scholar 

  24. Zenker, S.: How to catch a city? The concept and measurement of place brands. Journal of Place Management and Development 4(1), 43 (2011)

    Article  Google Scholar 

  25. Zenker, S.: How to catch a city? The concept and measurement of place brands. Journal of Place Management and Development 4(1), 4–46 (2011)

    Article  Google Scholar 

  26. Neri, F., Pettoni, M.: Stalker, A Multilanguage platform for Open Source Intelligence. In: Open Source Intelligence and Web Mining Symposium, Proceedings of 12th International Conference on Information Visualization, July 8-11, pp. 314–320. IEEE Computer Society, LSBU, London, UK (2008) ISBN:978-0-7695-3268-4

    Google Scholar 

  27. Neri, F., Geraci, P.: Mining Textual Data to boost Information Access in OSINT. In: Open Source Intelligence and Web Mining Symposium, Proceedings of 13th International Conference on Information Visualization, IV 2009, July 16-17, pp. 427–432. IEEE Computer Society, Barcelona (2009) ISBN: 978-0-7695-3733-7

    Google Scholar 

  28. McCord, M.C.: Slot Grammar: A System for Simpler Construction of Practical Natural Language Grammars. Natural Language and Logic 1989, 118–145 (1989)

    Google Scholar 

  29. McCord, M.C.: Slot Grammars. American Journal of Computational Linguistics 6(1), 31–43 (1980)

    Google Scholar 

  30. Neri, F., Geraci, P., Camillo, F.: Monitoring the Web Sentiment”, the Italian Prime Minister’s case. In: 2010 International Conference on Advances in Social Networks Analysis and Mining (2010), 978-0-7695-4138-9/10 © 2010 IEEE Computer SocietyWinner of Best poster Springer Award. Odense (DK), 9-11/08/2010, doi:10.1109/ASONAM.2010.26

    Google Scholar 

  31. Neri, F., Aliprandi, C., Camillo, F.: Mining the Web to Monitor the Political Consensus. In: Wiil, U.K. (ed.) Counterterrorism and Open Source Intelligence. Lecture Notes in Social Networks, vol. 2, Springer, Wien (2011), doi:0.1007/978-3-7091-0388-3-19

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Roberto Grandi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Grandi, R., Neri, F. (2014). Sentiment Analysis and City Branding. In: Catania, B., et al. New Trends in Databases and Information Systems. Advances in Intelligent Systems and Computing, vol 241. Springer, Cham. https://doi.org/10.1007/978-3-319-01863-8_36

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-01863-8_36

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01862-1

  • Online ISBN: 978-3-319-01863-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics