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Analyzing User Reviews in the Tourism & Cultural Domain - The Case of the City of Athens, Greece

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Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops (AIAI 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 677))

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Abstract

Tourism is an important economic activity for many countries and the ability of understanding visitor needs as they evolve over time is a priority for all involved stakeholders. The analysis of textual reviews written by travelers on various online platforms may be a valuable tool in this direction. In this work, we showcase the potential of this idea by examining 8 well-known attractions in the City of Athens, Greece. After retrieving the relevant data from two popular online services, we employ a state-of-the-art transformer-based language model for two tasks; the extraction of distinctive keywords and phrases out of the free-text reviews and the assignment of a sentiment score to each review. Based on this information, we can associate certain keywords and phrases with specific sentiment values and monitor their evolution over time, in the context of specific touristic & cultural places. The analysis that follows explores the potential of this idea in more detail.

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Acknowledgements

This research has been co-financed by the European Union and Greek national funds through the Regional Operational Program “ATTICA 2014-2020” of the National Strategic Reference Framework (NSRF) - Research Funding Program: Smart Tourism Recommendations based on Efficient Knowledge Mining on Online Platforms ATTP4-0349847.

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Authors and Affiliations

  1. School of Computer and Electrical Engineering, National Technical University of Athens, Zografou, Greece

    Tasos Papagiannis & George Ioannou

  2. Department of Cultural Technology and Communication, University of the Aegean, Mytilene, Greece

    Konstantinos Michalakis & George Caridakis

  3. Department of Digital Industry Technologies, National and Kapodistrian University of Athens, Psachna, Greece

    Georgios Alexandridis

Authors
  1. Tasos Papagiannis
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  2. George Ioannou
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  3. Konstantinos Michalakis
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  4. Georgios Alexandridis
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  5. George Caridakis
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Corresponding author

Correspondence to Georgios Alexandridis .

Editor information

Editors and Affiliations

  1. University of Piraeus, Piraeus, Greece

    Ilias Maglogiannis

  2. Democritus University of Thrace, Xanthi, Greece

    Lazaros Iliadis

  3. Democritus University of Thrace, Xanthi, Greece

    Antonios Papaleonidas

  4. Hellenic Telecom Organization OTE, Athens, Greece

    Ioannis Chochliouros

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Papagiannis, T., Ioannou, G., Michalakis, K., Alexandridis, G., Caridakis, G. (2023). Analyzing User Reviews in the Tourism & Cultural Domain - The Case of the City of Athens, Greece. In: Maglogiannis, I., Iliadis, L., Papaleonidas, A., Chochliouros, I. (eds) Artificial Intelligence Applications and Innovations. AIAI 2023 IFIP WG 12.5 International Workshops. AIAI 2023. IFIP Advances in Information and Communication Technology, vol 677. Springer, Cham. https://doi.org/10.1007/978-3-031-34171-7_22

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  • DOI: https://doi.org/10.1007/978-3-031-34171-7_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-34170-0

  • Online ISBN: 978-3-031-34171-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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