Text mining of user-generated content (UGC) for business applications in e-commerce: A systematic review

S Li, F Liu, Y Zhang, B Zhu, H Zhu, Z Yu - Mathematics, 2022 - mdpi.com
In the Web2. 0 era, user-generated content (UGC) provides a valuable source of data to aid
in understanding consumers and driving intelligent business. Text mining techniques, such …

A review-driven customer preference measurement model for product improvement: sentiment-based importance–performance analysis

A Wang, Q Zhang, S Zhao, X Lu, Z Peng - Information Systems and e …, 2020 - Springer
An increasing number of people use social media to share their consumption experiences.
Publicly available online reviews have become a significant source of information, which …

Impact of product attributes on customer satisfaction: An analysis of online reviews for washing machines

Y Wang, X Lu, Y Tan - Electronic commerce research and applications, 2018 - Elsevier
Online reviews are an important information source for companies analysing users'
demands. We conducted a study of online reviews to measure how product attributes impact …

Unveiling consumer preferences in automotive reviews through aspect-based opinion generation

Y Liu, J Shi, F Huang, J Hou, C Zhang - Journal of Retailing and Consumer …, 2024 - Elsevier
Unveiling consumer preferences in online reviews is receiving increasing attention. While
most existing approaches for consumer preferences have achieved significant …

Extracting and summarizing affective features and responses from online product descriptions and reviews: A Kansei text mining approach

WM Wang, Z Li, ZG Tian, JW Wang… - Engineering Applications of …, 2018 - Elsevier
Today's product design takes into account the affective aspects of products, such as
aesthetics and comfort, as much as reliability and physical quality. Manufacturers need to …

Exploring eWOM in online customer reviews: Sentiment analysis at a fine-grained level

Q Sun, J Niu, Z Yao, H Yan - Engineering Applications of Artificial …, 2019 - Elsevier
Customer reviews in social media and electronic commerce Web sites contain valuable
electronic word-of-mouth (eWOM) information of products, which facilitates firms' business …

Stimulating trust cooperation in edge services: An evolutionary tripartite game

P Sun, S Shen, Z Wu, H Zhou, XZ Gao - Engineering Applications of …, 2022 - Elsevier
Network edge services have contributed to ordinary people's daily lives with numerous
conveniences but the accompanying problems, such as counterfeiting, the trust crisis and …

Applying sentiment analysis to automatically classify consumer comments concerning marketing 4Cs aspects

HCK Lin, TH Wang, GC Lin, SC Cheng, HR Chen… - Applied Soft …, 2020 - Elsevier
With the rapid development of science and technology, consumers are used to searching
online for evaluations before purchasing products. Manufacturers can also utilize such …

Multiple affective attribute classification of online customer product reviews: A heuristic deep learning method for supporting Kansei engineering

WM Wang, JW Wang, Z Li, ZG Tian, E Tsui - Engineering Applications of …, 2019 - Elsevier
Kansei engineering is a product design methodology that takes into account the affective
needs of customers and translates them into product parameters. Traditionally, it uses …

Conceptual design of a user-centric smart product-service system using self-organizing map

J Cong, CH Chen, X Meng, Z Xiang, L Dong - Advanced Engineering …, 2023 - Elsevier
As an emerging IT-driven business paradigm, smart product-service system (Smart PSS),
which offers not only the smart, connected product (SCP) but also its generated service as a …