Data-driven decision-making to rank products according to online reviews and the interdependencies among product features

JH Dahooie, R Raafat, AR Qorbani… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The surge in online shopping has led to an increase in online customer reviews (OCRs),
posing challenges for product selection based on product features and customer sentiment …

An intuitionistic fuzzy data-driven product ranking model using sentiment analysis and multi-criteria decision-making

JH Dahooie, R Raafat, AR Qorbani, T Daim - … Forecasting and Social …, 2021 - Elsevier
With the advent of web 2.0 websites, the impact of customers on each other's purchasing
decisions has increased, and this has changed the decision-making procedure, attitude, and …

Online-review-driven products ranking: a hybrid approach

S Qu, Y Zhang, Y Ji, Z Wang, R Geng - Systems, 2023 - mdpi.com
Online customer reviews (OCRs) are the real feelings of customers in the process of using
products, which have great reference value for potential customers' purchase decisions …

Ranking products through online reviews: A novel data-driven method based on interval type-2 fuzzy sets and sentiment analysis

J Qin, M Zeng, X Wei, W Pedrycz - Journal of the Operational …, 2024 - Taylor & Francis
As an essential information resource, online reviews play an important role in consumers'
decision-making processes. To solve the product ranking problem through online reviews …

An integrated method for product ranking through online reviews based on evidential reasoning theory and stochastic dominance

J Qin, M Zeng - Information Sciences, 2022 - Elsevier
Online reviews play an important role in consumers' purchasing decisions. However, many
online reviews confuse consumers when they wish to make a purchase but lack experience …

A product ranking method combining the features–opinion pairs mining and interval-valued Pythagorean fuzzy sets

X Fu, T Ouyang, Z Yang, S Liu - Applied Soft Computing, 2020 - Elsevier
Mining online reviews has become an important means of identifying consumer behavior
and the innovation direction of products. However, it is difficult for both producers and …

Ranking products through online reviews: A method based on sentiment analysis technique and intuitionistic fuzzy set theory

Y Liu, JW Bi, ZP Fan - Information Fusion, 2017 - Elsevier
Online product reviews have significant impacts on consumers' purchase decisions. To
support consumers' purchase decisions, how to rank the products through online reviews is …

Consumer preference analysis: A data-driven multiple criteria approach integrating online information

M Guo, X Liao, J Liu, Q Zhang - Omega, 2020 - Elsevier
Multiple criteria approaches can assist the product manager to know the consumer
preferences in the context of e-commerce. Consumer preference analysis explains what …

A machine-learning-inspired opinion extraction mechanism for classifying customer reviews on social media

FM Alotaibi - Applied Sciences, 2023 - mdpi.com
Machine learning frameworks categorizing customer reviews on online products have
significantly improved sales and product quality for major manufacturers. Manually …

Mining online product reviews to identify consumers' fine-grained concerns

J Jin, P Ji - 2015 - IET
Online product reviews contain valuable information about customer requirements (CRs).
Intelligent analysis of a large volume of online CRs attracts interest from researchers in …