Linguistic-based emotion analysis and recognition for measuring consumer satisfaction: an application of affective computing

Facial emotion detection technology: concept, marketing applications, business drivers and challenges

“…Klaus R. Scherer and Ursula Scherer [17] have developed an emotion recognition index which consists of 2 tests, one which measures facial emotion and the other measuring voice recognition. Fuji Ren and Changqin Quan [18] have proposed a facial emotion and recognition method based on linguistics for measuring customer satisfaction. Aleix Martinez and Shichuan Du [19] have proposed a model in their study which can be used to build algorithms to understand facial expressions and emotions which will help in the study of human perceptions, interactions and disorders.…”

A rule-based approach to emotion cause detection for Chinese micro-blogs

“…Li, Pan, Jin, Yang, and Zhu (2012) expanded a few high-confidence sentiment and topic seeds in target domain by the given RAP algorithm. Ren and Quan (2012) made an analysis on emotion expressions, including the following factors for emotion change: negative words, conjunctions, punctuation marks and contextual emotions. Quan, Wei, and Ren (2013) combined sentiment lexicon and dependency parsing for sentiment classification, and they extracted the evaluation objects based on the dependency and calculated the similarity between the words based on HowNet.…”

Rethinking New Venture's Cognitive Legitimacy: An Experimental Study

“…Customers' knowledge about the organization refers to the customers' awareness of organizational culture, structure, and social responsibility (Ai et al ., ; Li et al ., ; Qi et al ., ; Ren and Quan, ; Wang et al ., ; Zhou et al ., ). It has been recognized that corporate identity can provide an umbrella for new product development.…”