2023
DOI: 10.1108/jpmd-04-2023-0041
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Assessing place experiences in Luton and Darlington on Twitter with topic modelling and AI-generated lexicons

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… Show more

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Cited by 4 publications
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