2022
DOI: 10.1016/j.eswa.2022.118294
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An end-to-end ranking system based on customers reviews: Integrating semantic mining and MCDM techniques

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Cited by 15 publications
(1 citation statement)
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“…In this method, naive Bayes, logistic regression, and support vector machine were used for the sentiment analysis of online reviews, and the stochastic multi-criteria acceptability analysis PROMETHEE method was used to obtain the final product ranking results. Eshkevari et al [37] proposed an end-toend ranking method that ranked the quality of hotel services, facilities, and amenities based on customer reviews. This method integrated mechanisms such as text processing, sentiment analysis, and multi-criteria decision-making technology.…”
Section: Introductionmentioning
confidence: 99%
“…In this method, naive Bayes, logistic regression, and support vector machine were used for the sentiment analysis of online reviews, and the stochastic multi-criteria acceptability analysis PROMETHEE method was used to obtain the final product ranking results. Eshkevari et al [37] proposed an end-toend ranking method that ranked the quality of hotel services, facilities, and amenities based on customer reviews. This method integrated mechanisms such as text processing, sentiment analysis, and multi-criteria decision-making technology.…”
Section: Introductionmentioning
confidence: 99%