Review of sentiment analysis: An emotional product development view

作     者：Hong-Bin YAN Ziyu LI Hong-Bin YAN;Ziyu LI

作者机构：School of BusinessEast China University of Science and TechnologyShanghai 200237China 

出 版 物：《Frontiers of Engineering Management》 (工程管理前沿（英文版）)

年 卷 期：2022年第9卷第4期

页      面：592-609页

学科分类：02[经济学] 0202[经济学-应用经济学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

基　　金：This study was supported by the National Natural Science Foundation of China(NSFC)under Grant Nos.71871093 72271092 72131007 and 72140006. 

主　　题：sentiment analysis emotion product development Kansei Engineering 

摘      要：Conveying consumers’specific emotions in new products,referred to as emotional product development or emotional design,is strategically crucial for manufacturers.Given that sentiment analysis(SA)can extract and analyze people’s opinions,sentiments,attitudes,and perceptions regarding different products/services,SA-based emotional design may provide manufacturers with real-time,direct,and rapid decision support.Despite its considerable advancements and numerous survey and review articles,SA is seldom considered in emotional design.This study is among the first efforts to conduct a thorough review of SA from the view of emotional design.The comprehensive review of aspect-level SA reveals the following:1)All studies focus on extracting product features by mixing technical product features and consumers’emotional perceptions.Consequently,such studies cannot capture the relationships between technical and emotional attributes and thus cannot convey specific emotions to the new products.2)Most studies use the English language in SA,but other languages have recently received more interest in SA.Furthermore,after conceptualizing emotion as Kansei and introducing emotional product development and Kansei Engineering,a review of the data-driven emotional design is then conducted.A few efforts start to study emotional design with the help of SA.However,these studies only focus on either analyzing consumers’preferences on product features or extracting emotional opinions from online reviews,thus cannot realize data-driven emotional product development.Finally,some research opportunities are provided.This study opens a broad door to aspect-level SA and its integration with emotional product development.