Social media analytics and business intelligence research: A systematic review

J Choi, J Yoon, J Chung, BY Coh, JM Lee - Information Processing & …, 2020 - Elsevier
Evidently, online voice of customers (VoC) expressed in social media has emerged as
quality data for researchers who are willing to conduct customer-driven business …

Text mining approach to explore dimensions of airline customer satisfaction using online customer reviews

FR Lucini, LM Tonetto, FS Fogliatto… - Journal of Air Transport …, 2020 - Elsevier
The airline industry operates in a highly competitive market, in which achieving and
maintaining a high level of passenger satisfaction is seen as a key competitive advantage …

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 …

Mining product innovation ideas from online reviews

M Zhang, B Fan, N Zhang, W Wang, W Fan - Information Processing & …, 2021 - Elsevier
The importance of online customer reviews to product innovation has been well-recognized
in prior literature. Mining online reviews has received extensive attention and efforts. Most …

Hotel selection driven by online textual reviews: Applying a semantic partitioned sentiment dictionary and evidence theory

R Nie, Z Tian, J Wang, KS Chin - International Journal of Hospitality …, 2020 - Elsevier
Browsing online reviews before selecting a satisfactory hotel has become a trend. Multiple
criteria decision making models are powerful tools to provide competitive guidance. The first …

Application of data analytics for product design: Sentiment analysis of online product reviews

R Ireland, A Liu - CIRP Journal of Manufacturing Science and …, 2018 - Elsevier
Advanced data analytics is one of the most revolutionary technological developments in the
21st century, which enables the discovery of underlining trends via sophisticated …

Assessing product competitive advantages from the perspective of customers by mining user-generated content on social media

Y Liu, C Jiang, H Zhao - Decision Support Systems, 2019 - Elsevier
User-generated content (UGC) is becoming increasingly available on social media for a
wide range of products and services. Such UGC contains rich information about customer …

Identifying competitors through comparative relation mining of online reviews in the restaurant industry

S Gao, O Tang, H Wang, P Yin - International Journal of Hospitality …, 2018 - Elsevier
It is of importance for restaurants to identify their competitors to gain competitiveness.
Meanwhile, opinion-rich resources like online reviews sites can be used to understand …

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 …

Dynamical mining of ever-changing user requirements: A product design and improvement perspective

H Sun, W Guo, H Shao, B Rong - Advanced Engineering Informatics, 2020 - Elsevier
Previous studies carried out customer surveys by questionnaires to collect data for analyzing
consumer requirements. In recent years, a large and growing body of literature has …