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Structural review of relics tourism by text mining and machine learning

Author

Listed:
  • Das, Subhankar
  • Mondal, Subhra
  • Puri, Vikram
  • Vrana, Vasiliki

Abstract

Purpose: The objective of the paper is to find trends of research in relic tourism-related topics. Specifically, this paper uncovers all published studies having latent issues with the keywords "relic tourism" from the Web of Science database. Methods: A total of 109 published articles (2002-2021) were collected related to "relic tourism." Machine learning tools were applied. Network analysis was used to highlight top researchers in this field, their citations, keyword clusters, and collaborative networks. Text analysis and Bidirectional Encoder Representation from Transformer (BERT) of artificial intelligence model were used to predict text or keyword-based topic reference in machine learning. Results: All the papers are published basically on three primary keywords such as "relics," "culture," and "heritage." Secondary keywords like "protection" and "development" also attract researchers to research this topic. The co-author network is highly significant for diverse authors, and geographically researchers from five countries are collaborating more on this topic. Implications: Academically, future research can be predicated with dense keywords. Journals can bring more special issues related to the topic as relic tourism still has some unexplored areas.

Suggested Citation

  • Das, Subhankar & Mondal, Subhra & Puri, Vikram & Vrana, Vasiliki, 2022. "Structural review of relics tourism by text mining and machine learning," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 8(2), pages 25-34.
    • Handle: RePEc:zbw:espost:272309
    DOI: 10.5281/zenodo.7358349
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    References listed on IDEAS

    as
    1. Mara Cerquetti & Concetta Ferrara, 2018. "Marketing Research for Cultural Heritage Conservation and Sustainability: Lessons from the Field," Sustainability, MDPI, vol. 10(3), pages 1-16, March.
    2. Ahmed Imran KABIR & Ridoan KARIM & Shah NEWAZ & Muhammad Istiaque HOSSAIN, 2018. "The Power of Social Media Analytics: Text Analytics Based on Sentiment Analysis and Word Clouds on R," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 22(1), pages 25-38.
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    Cited by:

    1. Brida, Juan Gabriel & González Rosas, Erika Lourdes & Seijas Giménez, María Nela, 2023. "Dark satisfaction in Guanajuato’s Mummies Museum visitors," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(1), pages 15-24.

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    More about this item

    Keywords

    Text analysis; relic tourism; topic modelling;
    All these keywords.

    JEL classification:

    • Z00 - Other Special Topics - - General - - - General
    • Z11 - Other Special Topics - - Cultural Economics - - - Economics of the Arts and Literature
    • Z32 - Other Special Topics - - Tourism Economics - - - Tourism and Development

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