Asset Details
Do you wish to reserve the book?
Assessing place experiences in Luton and Darlington on Twitter with topic modelling and AI-generated lexicons
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Assessing place experiences in Luton and Darlington on Twitter with topic modelling and AI-generated lexicons
Do you wish to request the book?
Assessing place experiences in Luton and Darlington on Twitter with topic modelling and AI-generated lexicons
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Assessing place experiences in Luton and Darlington on Twitter with topic modelling and AI-generated lexicons
2024
Overview
PurposeThe purpose of this paper is to examine and compare the in situ place experiences of people in Luton and Darlington.Design/methodology/approachThe 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.FindingsThe 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/valueThe 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.
Publisher
Emerald Group Publishing Limited
