Assessing place experiences in Luton and Darlington on Twitter with topic modelling and AI-generated lexicons
Journal of Place Management and Development
ISSN: 1753-8335
Article publication date: 28 July 2023
Issue publication date: 15 January 2024
Abstract
Purpose
The purpose of this paper is to examine and compare the in situ place experiences of people in Luton and Darlington.
Design/methodology/approach
The study used 109,998 geotagged tweets from Luton and Darlington between 2020 and 2022 and conducted topic modelling using latent Dirichlet allocation. Lexicons were created using GPT-4 to evaluate the eight dimensions of place experience for each topic.
Findings
The study found that Darlington had higher counts in the sensorial, behavioural, designed and mundane dimensions of place experience than Luton. Conversely, Luton had a higher prevalence of the affective and intellectual dimensions, attributed to political and faith-related tweets.
Originality/value
The study introduces a novel approach that uses AI-generated lexicons for place experience. These lexicons cover four facets, two intentions and two intensities of place experience, enabling detection of words from any domain. This approach can be useful not only for town and destination brand managers but also for researchers in any field.
Keywords
Acknowledgements
The authors would like to express their gratitude to the editor, Nikos Ntounis, and the two anonymous reviewers for their valuable comments and feedback, which have greatly improved their manuscript. The authors would also like to acknowledge that while the initial draft of this manuscript was written by human authors, it has been reviewed by ChatGPT and GPT-4 for enhanced readability. The data set and AI-generated lexicons used in this research are publicly available at https://github.com/viriyatae/town_experience
Declaration of interest statement: none.
Citation
Taecharungroj, V. and Stoica, I.S. (2024), "Assessing place experiences in Luton and Darlington on Twitter with topic modelling and AI-generated lexicons", Journal of Place Management and Development, Vol. 17 No. 1, pp. 49-73. https://doi.org/10.1108/JPMD-04-2023-0041
Publisher
:Emerald Publishing Limited
Copyright © 2023, Emerald Publishing Limited