Table 11 Summary of papers reviewed using the Kansei approach for mining people’s opinions
Reference | Aim | Method | Material | Sector |
|---|---|---|---|---|
[134] | To construct a Kansei evaluation model from product reviews on the web for product design by applying NLP methods to impressions | Kansei Evaluation model | Web review texts, Japan | Product design |
[133] | To study visual content and investigate the evoked emotions in extremist YouTube videos among younger viewers | Kansei Engineering | YouTube videos | Extremist "Dark Side" |
[135] | To develop guidelines for hotel services to help managers meet consumer needs | Kansei Engineering and Text mining | TripAdvisor review | Online hotel service |
[136] | To extract and measure users’ affective responses toward products from online customer reviews | Kansei Engineering and machine learning | Online store reviews on the online store, the web pages of online shopping | E-commerce |
[137] | To analyse the associations between service design elements (property space) of CBLS and customers’ Kansei perceptions | Kansei Engineering and Text mining | Google, Bing, Yahoo (CLBS keyword) | Hotel services (business) |