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 …

Optimising affective design based on customer needs help to earn competitive advantages.
However, affective design has been studied qualitatively and the value of online opinions …

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 …

We review the scholarly contributions that utilise natural language processing (NLP)
techniques to support the design process. Using a heuristic approach, we gathered 223 …

A clear understanding of customer needs is key to the success of new product development
and customer-centric product design. Online reviews, particularly initial reviews, are …

Eliciting user needs from mass online reviews is playing a significant role in the product
iteration process. Efficient user needs elicitation does achieve considerable benefits for …

The importance–performance analysis (IPA) is a widely used technique to guide strategic
planning for the improvement of customer satisfaction. Compared with surveys, numerous …

Previous studies conducted customer requirement (CR) mining through the Kano
classification approach to optimize product design, without considering the opinion changes …

Product improvement has become a multifaceted and uncertain endeavour for
manufacturers in an increasingly competitive business environment. Online platforms have …

The increasing number of product reviews posted online is a gold mine for designers to
know better about the products they develop, by capturing the voice of customers, and to …