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A text mining study of online reviews to understand intercity bus service quality · Study

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ArticleA text mining study of online reviews to understand intercity bus service quality

Atif Hussain2024

Article2024

A text mining study of online reviews to understand intercity bus service quality

Atif Hussain · Adnan Shafiq · Muhammad Uzair Awan · Junaid Iqbal Hashmi

10 citations·0/0 files stored·Transport Policy

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Transportation Planning and Optimization Customer Service Quality and Loyalty Sentiment Analysis and Opinion Mining

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References

2016Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation 2017What influences satisfaction and loyalty in public transport? A review of the literature 2014User-Generated Content as a Research Mode in Tourism and Hospitality Applications: Topics, Methods, and Software 2020Text Preprocessing for Text Mining in Organizational Research: Review and Recommendations 2021Applications of text mining in services management: A systematic literature review 2010Managing passenger behavioral intention: an integrated framework for service quality, satisfaction, perceived value, and switching barriers 2022Exploring the challenges of remote work on Twitter users' sentiments: From digital technology development to a post-pandemic era 2005Structural Equation Modeling to Determine Passenger Loyalty Toward Intercity Bus Services

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Details

Year2024

Typearticle

Published2024-12-05

VenueTransport Policy

ISSN-L0967-070X

Languageen

Citations10

Files0 public / 0

ShelfTransportation Planning and Optimization

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doi10.1016/j.tranpol.2024.12.002

openalex_workW4405044252

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