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October 27, 2025International Journal of Accounting and Economics StudiesOpen Access

Customer Sentiment Intelligence: A Comprehensive Analysis of TripAdvisor Hotel Reviews for Strategic Business Optimization

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Authors

CYCihan YılmazYBYavuz Selim Balcıoğlu

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Overview

Analysis shows strong links between sentiment and customer satisfaction, indicating strategic use of text mining in hospitality business decisions.

Key Points

  • Customer satisfaction correlates strongly with sentiment language in TripAdvisor reviews, highlighting effective sentiment analysis.
  • Text mining techniques reveal insights into operational performance, particularly in Value Proposition area needing improvements.
  • Investigative analysis across 20,491 reviews utilized sentiment analysis, focusing on critical business intelligence questions.
  • These findings signal a significant optimization potential for hotel managers aiming at enhanced service delivery and competitiveness.

Cite This Study

Yılmaz et al. (2025) studied this question.

synapsesocial.com/papers/68ff87e2c8c50a61f2bdce34https://doi.org/10.14419/vc2ffn02
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

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  4. 4Data-Driven Insights from 10,000 Reviews: Fostering Sustainability through Rapid Adaptation to Guest Feedback2024 · 2 citations
  5. 5Sensing hotel customers distribution and their sentiment variations using online travel agent data: a case of Shanghai star-rated hotels2024 · 5 citations