DOI
10.9781/ijimai.2022.12.003
Abstract
The study of placeness has been focus for researchers trying to understand the impact of locations on their surroundings and tourism, the loss of it by globalization and modernization and its effect on tourism, or the characterization of the activities that take place in them. Identifying places that have a high level of placeness can become very valuable when studying social trends and mobility in relation to the space in which the study takes place. Moreover, places can be enriched with dimensions such as the demographics of the individuals visiting such places and the activities the carry in them thanks to social media and modern machine learning and data mining methods. Such information can prove to be useful in fields such as urban planning or tourism as a base for analysis and decision-making or the discovery of new social hotspots or sites rich in cultural heritage.
Source Publication
International Journal of Interactive Multimedia and Artificial Intelligence
Recommended Citation
Muñoz, P.; Doñaque, E.; Larrañaga, A.; Torres, Javier Martínez; and Mejías, A.
(2023)
"Tourism-Related Placeness Feature Extraction from Social Media Data Using Machine Learning Models,"
International Journal of Interactive Multimedia and Artificial Intelligence: Vol. 8:
Iss.
4, Article 17.
DOI: 10.9781/ijimai.2022.12.003
Available at:
https://ijimai.researchcommons.org/ijimai/vol8/iss4/17
