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Planning Cities Development Directions with the Application of Sentiment Analysis

Author

Listed:
  • Dorota Jelonek
  • Cezary Stępniak
  • Tomasz Turek
  • Leszek Ziora

Abstract

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.

Suggested Citation

  • Dorota Jelonek & Cezary Stępniak & Tomasz Turek & Leszek Ziora, 2020. "Planning Cities Development Directions with the Application of Sentiment Analysis," Prague Economic Papers, Prague University of Economics and Business, vol. 2020(3), pages 274-290.
    • Handle: RePEc:prg:jnlpep:v:2020:y:2020:i:3:id:740:p:274-290
    DOI: 10.18267/j.pep.740
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    References listed on IDEAS

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    1. Zhao, Narisa & Cheng, Xiaokang & Guo, Xianda, 2018. "Impact of information spread and investment behavior on the diffusion of internet investment products," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 512(C), pages 427-436.
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    Citations

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    Cited by:

    1. Cezary Stępniak & Dorota Jelonek & Magdalena Wyrwicka & Iwona Chomiak-Orsa, 2021. "Integration of the Infrastructure of Systems Used in Smart Cities for the Planning of Transport and Communication Systems in Cities," Energies, MDPI, vol. 14(11), pages 1-19, May.
    2. Sławomira Hajduk & Dorota Jelonek, 2021. "A Decision-Making Approach Based on TOPSIS Method for Ranking Smart Cities in the Context of Urban Energy," Energies, MDPI, vol. 14(9), pages 1-23, May.
    3. Artur Kujawski & Mariusz Nürnberg, 2023. "Analysis of the Potential Use of Unmanned Aerial Vehicles and Image Processing Methods to Support Road and Parking Space Management in Urban Transport," Sustainability, MDPI, vol. 15(4), pages 1-14, February.

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    1. Dorota Jelonek & Cezary Stępniak & Tomasz Turek & Leszek Ziora, . "Planning City Development Directions with the Application of Sentiment Analysis," Prague Economic Papers, University of Economics, Prague, vol. 0.

    More about this item

    Keywords

    Sentiment analysis; business analytics; city development; smart cities; e-government;
    All these keywords.

    JEL classification:

    • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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