What question did this study set out to answer?

To develop an integrated decision-making framework combining text analysis and Fuzzy AHP–TOPSIS to assess service quality factors and customer revisit intentions from unstructured online tourist reviews.

August 16, 2026Anatolia

Integrating text analysis-Fuzzy MCDM for analysing online tourist reviews

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Authors

VNVenkateswarlu Nalluri HSHanumantha Rao Sama JCJing–Rong Chang

Discussion

Member takes

Overview

Methodological study demonstrates an integrated text analysis and Fuzzy AHP-TOPSIS framework for evaluating tourist reviews, highlighting data-driven service optimization.

Key Points

To develop an integrated decision-making framework combining text analysis and Fuzzy AHP–TOPSIS to assess service quality factors and customer revisit intentions from unstructured online tourist reviews.
Extracted key hospitality service quality dimensions from large-scale online tourist reviews using computational text analysis techniques.
Assigned importance weights to identified service factors under uncertainty using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP).
Prioritized and ranked service factors according to their impact on tourist revisit intentions using the Fuzzy TOPSIS decision-making method.
Established a functional end-to-end framework integrating text analysis with Fuzzy MCDM to resolve unstructured review data complexity and decision uncertainty.
Derived quantitative priority rankings of hospitality service factors driving customer revisit intentions to support strategic service quality improvements.

Cite This Study

Nalluri et al. (2026) studied this question.

synapsesocial.com/papers/6a817a60f2fb91fc834ae26b https://doi.org/10.1080/13032917.2026.2714207

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August 16, 2026Anatolia

Integrating text analysis-Fuzzy MCDM for analysing online tourist reviews

View Full Paper

Ask AI

Bookmark

Authors

VNVenkateswarlu Nalluri HSHanumantha Rao Sama JCJing–Rong Chang

Discussion

Member takes

Overview

Methodological study demonstrates an integrated text analysis and Fuzzy AHP-TOPSIS framework for evaluating tourist reviews, highlighting data-driven service optimization.

Key Points

To develop an integrated decision-making framework combining text analysis and Fuzzy AHP–TOPSIS to assess service quality factors and customer revisit intentions from unstructured online tourist reviews.
Extracted key hospitality service quality dimensions from large-scale online tourist reviews using computational text analysis techniques.
Assigned importance weights to identified service factors under uncertainty using the Fuzzy Analytic Hierarchy Process (Fuzzy AHP).
Prioritized and ranked service factors according to their impact on tourist revisit intentions using the Fuzzy TOPSIS decision-making method.
Established a functional end-to-end framework integrating text analysis with Fuzzy MCDM to resolve unstructured review data complexity and decision uncertainty.
Derived quantitative priority rankings of hospitality service factors driving customer revisit intentions to support strategic service quality improvements.

Cite This Study

Nalluri et al. (2026) studied this question.

synapsesocial.com/papers/6a817a60f2fb91fc834ae26b https://doi.org/10.1080/13032917.2026.2714207

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