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Frontiers of Engineering Management

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Front. Eng    2022, Vol. 9 Issue (4) : 592-609    https://doi.org/10.1007/s42524-022-0227-z
REVIEW ARTICLE
Review of sentiment analysis: An emotional product development view
Hong-Bin YAN(), Ziyu LI
School of Business, East China University of Science and Technology, Shanghai 200237, China
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Abstract

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.
Keywords sentiment analysis      emotion      product development      Kansei Engineering     
Corresponding Author(s): Hong-Bin YAN   
Just Accepted Date: 29 September 2022   Online First Date: 15 November 2022    Issue Date: 08 December 2022
 Cite this article:   
Hong-Bin YAN,Ziyu LI. Review of sentiment analysis: An emotional product development view[J]. Front. Eng, 2022, 9(4): 592-609.
 URL:  
https://academic.hep.com.cn/fem/EN/10.1007/s42524-022-0227-z
https://academic.hep.com.cn/fem/EN/Y2022/V9/I4/592
Fig.1  Organization of the review.
Fig.2  Three phases of aspect-level sentiment analysis.
Fig.3  Summary of approaches to aspect identification.
Fig.4  Distribution of approaches to explicit and implicit aspect identification.
Fig.5  Approaches to opinion extraction.
Fig.6  Distribution of approaches to opinion extraction.
Fig.7  Approaches to polarity detection.
Fig.8  Distribution of polarity detection approaches.
Fig.9  Distribution of articles in three phases of aspect-level sentiment analysis.
Fig.10  Distribution of benchmark datasets.
Fig.11  Distribution of data domains (left) and languages (right).
Business intelligenceGovernment intelligenceHealthcare and medical domain
MonitoringProducts and services optimizationMarketing strategy formulationPublic opinion monitoringHealthcare surveillance
PredictionMarket and forex predictionPolitics predictionDisease detection
RecommendationIntelligent recommendation system
Tab.1  Applications of sentiment analysis
Fig.12  Procedure of Kansei Engineering methodology.
Fig.13  Illustration of sparse evaluation matrix.
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