Unveiling the spatial and temporal variation of customer sentiment in hotel experiences: a case study of Beppu City, Japan

This study examined the fluctuation of customer sentiment regarding hotel experiences in Beppu City, Japan, as reflected in TripAdvisor reviews. A total of 4004 reviews in English and Japanese, contributed by both international and domestic customers, were collected from 233 hotels in Beppu between April 1st, 2015, and March 31st, 2023, for sentiment analysis. The Google Cloud Natural Language Processing API was utilized for sentiment extraction. This study employed spatio-temporal analysis to investigate the variation of sentiment over time and across different areas, as well as to explore differences in sentiment between international and domestic customers. The research results underscore a notable regional disparity in hotel satisfaction, particularly in the Kitahama and Cyuou Area of Beppu, following the COVID-19 pandemic.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2024-12-19
DOI
https://doi.org/10.1057/s41599-024-04226-4
Citations
1
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
1.13

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article

Unveiling the spatial and temporal variation of customer sentiment in hotel experiences: a case study of Beppu City, Japan

Feiyu Hu, Jun Pan, Haijun Wang
1 citations
Humanities and Social Sciences Communications
Digital Marketing and Social Media
1.13
article

Unveiling the spatial and temporal variation of customer sentiment in hotel experiences: a case study of Beppu City, Japan

Feiyu Hu, Jun Pan, Haijun Wang
article en
1 citations

Abstract

This study examined the fluctuation of customer sentiment regarding hotel experiences in Beppu City, Japan, as reflected in TripAdvisor reviews. A total of 4004 reviews in English and Japanese, contributed by both international and domestic customers, were collected from 233 hotels in Beppu between April 1st, 2015, and March 31st, 2023, for sentiment analysis. The Google Cloud Natural Language Processing API was utilized for sentiment extraction. This study employed spatio-temporal analysis to investigate the variation of sentiment over time and across different areas, as well as to explore differences in sentiment between international and domestic customers. The research results underscore a notable regional disparity in hotel satisfaction, particularly in the Kitahama and Cyuou Area of Beppu, following the COVID-19 pandemic.

Humanities and Social Sciences CommunicationsVol. 11(1)
Ritsumeikan Asia Pacific University (JP), Zhejiang University of Science and Technology (CN), Taizhou University (CN)
Japan Society for the Promotion of Science
Good health and well-being
Openalex Percentile: Top 14%
Digital Marketing and Social Media
1.13
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