I Know What You Think About Your Last Vacation: A Topic Modelling Approach for Destination Online Reviews

Author:

Quarshie BenjaminORCID,Santoso Halim BudiORCID,Rachmat Chrismanto AntoniusORCID,Ngubeni PaulinaORCID,Ukpabi DandisonORCID

Abstract

AbstractOnline reviews (ORs) have garnered interdisciplinary attention, notably in hospitality and tourism. Despite their significance, concerns about OR credibility persist. Destination Management Organizations increasingly recognize ORs as valuable sources of firsthand, authentic feedback from consumers. However, there remains a dearth of cross-continental investigations into ORs, particularly concerning themes discussed by local and international travelers across various destinations. To address this gap, we employ Latent Dirichlet Analysis—a probabilistic technique to extract topics from a given corpus—to examine 10350 TripAdvisor reviews from 12 destinations in Ghana and Indonesia. Our analysis reveals shared concerns among domestic and international travelers regarding activities, destination attractions, local staff attitudes, and positive visitor experiences. This study advances insights, highlights limitations, and lays the groundwork for future research.

Publisher

Springer Nature Switzerland

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3