Author:
Taecharungroj Viriya,Stoica Ioana S.
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.
Subject
Marketing,Strategy and Management,Tourism, Leisure and Hospitality Management,Urban Studies,Geography, Planning and Development,Business and International Management
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5. BBC (2023), “Deadpool: Mystery man makes documentary praising Luton”, available at: www.bbc.com/news/uk-england-beds-bucks-herts-65039347
Cited by
3 articles.
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