Artikel

Structural review of relics tourism by text mining and machine learning

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.

Language
Englisch

Bibliographic citation
Journal: Journal of Tourism, Heritage & Services Marketing ; ISSN: 2529-1947 ; Volume: 8 ; Year: 2022 ; Issue: 2 ; Pages: 25-34 ; Thessaloniki: International Hellenic University

Classification
Wirtschaft
Other Special Topics: General
Cultural Economics: Economics of the Arts and Literature
Tourism and Development
Subject
Text analysis
relic tourism
topic modelling

Event
Geistige Schöpfung
(who)
Das, Subhankar
Mondal, Subhra
Puri, Vikram
Vrana, Vasiliki
Event
Veröffentlichung
(who)
International Hellenic University
(where)
Thessaloniki
(when)
2022

DOI
doi:10.5281/zenodo.7358349
Handle
Last update
10.03.2025, 11:43 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Artikel

Associated

  • Das, Subhankar
  • Mondal, Subhra
  • Puri, Vikram
  • Vrana, Vasiliki
  • International Hellenic University

Time of origin

  • 2022

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