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September 5, 2025Brilliant International Journal Of Management And Tourism

Guest Sentiment Analysis Based on Online Reviews to Optimize Guest Satisfaction at Hotel X

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Authors

ICI Dewa Gde Tri Jaya CahyadiPPPutu Diah Sastri PitanatriPAPrastha Adyatma

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Overview

Sentiment analysis reveals 72.99% positive reviews at Hotel X, indicating that improving guest satisfaction is essential in the hospitality industry.

Key Points

  • The sentiment analysis shows that 72.99% of reviews for Hotel X are positive, reflecting overall guest satisfaction.
  • Using a Naive Bayes method, the study achieves high accuracy in classifying positive sentiments, but struggles with negatives.
  • The analysis utilized a dataset from November 2024 to January 2025, indicating a need for real-time feedback in hospitality management.
  • Ongoing sentiment analysis can help address service gaps, emphasizing its role in enhancing guest satisfaction in tourism.

Cite This Study

Cahyadi et al. (2025) studied this question.

synapsesocial.com/papers/68bb4e016d6d5674bcd026b8https://doi.org/10.55606/bijmt.v5i2.4442
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Also Consider

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

  1. 1Customer Feedback and Sentiment Analysis for Hotel Services2024 · 3 citations
  2. 2Customer Sentiment Intelligence: A Comprehensive Analysis of TripAdvisor Hotel Reviews for Strategic Business Optimization2025
  3. 3Beyond the stars: predicting guest satisfaction through NLP and machine learning of hotel reviews2026
  4. 4Sentiment-Based Rating Prediction Using AFINN Lexicon: Insights for Product Promotion in Digital Marketing Analytics2025
  5. 5Maze of conveniences: re-examining hotel reviews and social media data2025 · 3 citations