Prague Economic Papers 2020, 29(3):274-290 | DOI: 10.18267/j.pep.740

Planning Cities Development Directions with the Application of Sentiment Analysis

Dorota Jelonek, Cezary Stępniak, Tomasz Turek, Leszek Ziora
a Czestochowa University of Technology, Czestochowa, Poland

The aim of the article is to present a model of sentiment analysis tool application for planning directions of city development. The study presents a model of using sentiment analysis to build city development strategies as well as realization of projects related to it. The presented model is a part of a larger work on developing the concept of the Regional Spatial Business Community (RSBC). The RSBC is created on the basis of electronic communities built by stakeholders involved in the development of a given city. On the basis of surveys, a six-stage city development procedure is proposed. Using the aforementioned procedure, we describe potential data sources, the goals of sentiment analysis application and expected effects. Analyses of the applicability of sentiment analysis are made on the basis of observation of available tools. The obtained model is applicable; however, its implementation requires certain conditions to be met.

Keywords: Sentiment analysis, business analytics, city development, smart cities, e-government
JEL classification: M10, O31, O32, O33

Received: October 8, 2018; Revised: June 5, 2019; Accepted: October 23, 2019; Prepublished online: March 13, 2020; Published: June 16, 2020  Show citation

ACS AIP APA ASA Harvard Chicago IEEE ISO690 MLA NLM Turabian Vancouver
Jelonek, D., Stępniak, C., Turek, T., & Ziora, L. (2020). Planning Cities Development Directions with the Application of Sentiment Analysis. Prague Economic Papers29(3), 274-290. doi: 10.18267/j.pep.740
Download citation

References

  1. Agarwal B., Mittal N. (2016) Prominent Feature Extraction for Sentiment Analysis. Springer. Socio-Affective Computing, volume 2. Switzerland, p.1, https://doi.org/10.1007/978-3-319-25343-5 Go to original source...
  2. Ahmad, Khurshid. (ed.). (2011) Affective Computing and Sentiment Analysis. Emotion, metaphor and terminology. Springer, Dublin, https://doi.org/10.1007/978-94-007-1757-2 Go to original source...
  3. Caird S.P., Hallett S.H. (2018) Towards evaluation design for smart city development. Journal of Urban Design, DOI: 10.1080/13574809.2018.1469402 Go to original source...
  4. Contreras M. (2018) Family Organizations and Their Contribution to Local Development in the Arenitas Fishing Community. In Przedsiębiorczość i zarządzanie. Wydawnictwo SAN. Tom XIX, Zeszyt 7. Część II, ss. 23 -36, ISSN 2543-8190.
  5. Estevez-Ortiz F., Garcia-Jimenez A., Glosekotter P.: An application of people's sentiment from social media to smart cities. El profesional de la información, 2016, noviembre-diciembre, v. 25, n. 6. eISSN: 1699-2407, https://doi.org/10.3145/epi.2016.nov.02 Go to original source...
  6. Ewing R. Handz S. (2009) Measuring the Unmeasurable: Urban Design Qualities Related to Walkability. Journal of Urban Design Volume 14, 2009 - Issue 1. pp. 65-84. DOI: https://doi.org/10.1080/13574800802451155. Go to original source...
  7. Farhadloo M., Rolland E. (2016), Fundamentals of Sentiment Analysis and Its Applications In: W. Pedrycz, S.-M. Chen (eds.): Sentiment Analysis and Ontology Engineering, Studies in Computational Intelligence 639, Springer International Publishing, Switzerland, https://doi.org/10.1007/978-3-319-30319-2_1 Go to original source...
  8. Fast Company (2018). https://www.fastcoexist.com/1680538/what-exactly-is-a-smart-city - Accessed January 2018
  9. Hauke K. (2018) Model przetwarzania danych w chmurze obliczeniowej na przykładzie gminy. In Przedsiębiorstwo we współczesnej gospodarce - teoria i praktyka, 2018, nr 2, s. 79-92, ISSN 2084-6495. DOI: http://dx.doi.org/10.19253/reme.2018.0.006. Go to original source...
  10. Jelonek D., Mesjasz-Lech A., Stępniak C., Turek T., Ziora L.: (2019) Potential Data Sources for Sentiment Analysis Tools for Municipal Management Based on Empirical Research. [in:] Arai K., Bhatia R. (Eds.): Advances in Information and Communication: Proceedings of the 2019 FICC Conference. Springer Nature Switzerland AG 2020,pp. 708-725 Go to original source...
  11. Jelonek D., Stępniak C., Turek T. (2013) The Concept of Building Regional Business Spatial Community, In ICETE 2013 10th International Joint Conference on e-Business and Telecommunications. Proceedings, 29-31 July 2013, Reykjavik, Iceland 2013, s.83-90.
  12. Jelonek D., Stępniak C., Ziora L. (2018) The Meaning of Big Data in the Support of Managerial Decisions in Contemporary Organizations: Review of Selected Research. Proceedings of 2018 Future of Information and Communication Conference, Singapore. IEEE New York 2018, pp. 195-198 Go to original source...
  13. Kożuch B. (2016), Współczesne perspektywy rozwiązywania problemów zarządzania publicznego. In Zarządzanie i finanse Journal of Management and Finance. Vol. 14, no. 2/2/2016 s. 167 - 178.
  14. Li G., Liu F.: Application of a clustering method on sentiment analysis. Journal of Information Science. Sage Journals: http://journals.sagepub.com/doi/abs/10.1177/0165551511432670, https://doi.org/10.1177/0165551511432670 Go to original source...
  15. Liu B. (2012), Sentiment Analysis and Opinion Mining. Morgan & Claypool Publishers 2012. https://www.cs.uic.edu/~liub/FBS/SentimentAnalysis-and-OpinionMining.pdf
  16. Lula P., Wójcik K., Tuchowski J. (2016), Analiza wydźwięku polskojęzycznych opinii konsumenckich ukierunkowanych na cechy produktu. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu nr 427, Wrocław DOI: 10.15611/pn.2016.427.16 Go to original source...
  17. Maas A.L., Daly R.E., Pham P.T., Huang D., Ng A.Y., Potts Ch. (2011). Learning word vectors for sentiment analysis. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1 (HLT '11), Vol. 1. Association for Computational Linguistics, Stroudsburg, PA, USA, 142-150.
  18. Madej J., Widlak M. (2018) E-usługi w wybranych gminach województwa małopolskiego. In Nierówności Społeczne a Wzrost Gospodarczy, nr 53 (1/2018) pp. 340-350. DOI: 10.15584/nsawg.2018.1.29 ISSN 1898-5084 Go to original source...
  19. Mantyla M., Graziotin D., Kuutila M.: The Evolution of Sentiment Analysis - A Review of Research Topics, Venues, and Top Cited Papers. Computer Science Review 27, February 2018, https://doi.org/10.1016/j.cosrev.2017.10.002 Go to original source...
  20. Medhat W. (2014), Hassan A., Korashy H.: Sentiment analysis algorithms and applications: A survey. Ain Shams Engineering Journal. http://www.sciencedirect.com/science/article/pii/S2090447914000550, https://doi.org/10.1016/j.asej.2014.04.011. Go to original source...
  21. Musioł-Urbańczyk A., Sorychta-Wojsczyk B. (2016) Analiza procesu formułowania strategii rozwoju w miastach na prawach powiatu województwa śląskiego. In Zeszyty Naukowe Uniwersytetu Przyrodniczo-Humanistycznego, seria Administracja i Zarządzanie Issue-No 109, pp. 35-45.
  22. Olbrycht, J. (2018). http://janolbrycht.pl/olbrycht-rozwoj-miast-zalezy-wladz-tych-wszystkich-ktorzy-je-tworza - Accessed January 2018.
  23. Pang B., Lee L. (2008) Opinion Mining and Sentiment Analysis. Foundations and Trends in Information. Retrieval Vol. 2, Nos. 1-2 (2008) 1-135, p.2, https://doi.org/10.1561/1500000011 Go to original source...
  24. Podgórska-Rykała J. (2018) Change or Continuation? Long-Term City Management on the Example of Local Development Strategy of Katowice. Zmiana czy kontynuacja? Zarządzanie miastem w perspektywie długofalowej na przykładzie strategii rozwoju lokalnego. In Zeszyty Naukowe Wyższej Szkoły Humanitas. Zarządzanie, 2018, nr 2, s. 181-198, bibliogr. 30 poz. DOI: 10.5604/01.3001.0012.2047 Go to original source...
  25. Santos Cruz S., Roskamm N., Charalambous N. (2018) Inquiries into public space practices, meanings and values. Journal of Urban Design Volume 23, 2018 - Issue 6: Theme issue: Becoming Local. pp. 797-802. DOI: https://doi.org/10.1080/13574809.2018.1525289SAS sentiment analysis. Align with your customers' desires. http://www.sas.com/en_us/software/analytics/sentiment-analysis.html [Retrieved January 2017] Go to original source...
  26. Skoczylas W. (2008) Typologia wskaźników niefinansowych w badaniach analitycznych. In Studia i Prace Wydziału Nauk Ekonomicznych i Zarządzania Uniwersytet Szczeciński, 2008, nr 1, s. 177-187, ISSN 1899-2382.
  27. "Smart City" dodatek do "Przeglądu Komunalnego" nr 9/2016, s. 16.Stępniak C., Turek T.: Integration of Spatial Information Resources on the Example of Utility Companies in Częstochowa Region. In Online Journal of Applied Knowledge Management. Vol. 2, Issue 2, Knowledge Management Conference. Blagoevgrad, Bulgaria, June 25-28 2014. s. 97-108.
  28. Stępniak C., Turek T., Levels of the Use of Electronic Communities in the Management of Regions In Preprints of the Federated Conference on Computer Science and Information Systems pp. 1567-1572. Łódź 13-16.09.2015.Zawiła-Niedźwiecki J.: Structuring knowledge management - classical theory, strategic initiation and operational knowledge management (part1). Foundations of Management, Vol. 7 (2015), ISSN 2080-7279. DOI: 10.1515/fman-2015-0041 Go to original source...
  29. Zhao N., Cheng X., Guo X. (2018) Impact of information spread and investment behavior on the diffusion of internet investment products. Physica A: Statistical Mechanics and its Applications. Volume 512, 15 December 2018, Pages 427-436. https://doi.org/10.1016/j.physa.2018.08.075Ziora L.: The Sentiment Analysis as a Tool of Business Analytics in Contemporary Organizations. Studia Ekonomiczne. Zeszyty Naukowe Uniwersytetu Ekonomicznego w Katowicach nr 281, Katowice 2016, pp. 234-241 Go to original source...

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY NC ND 4.0), which permits non-comercial use, distribution, and reproduction in any medium, provided the original publication is properly cited. No use, distribution or reproduction is permitted which does not comply with these terms.