Product Demand Analysis Based on Online Review Data Mining and Kano Model

Abstract

Abstract: Based on Kano model and online review data mining, this paper proposes a method to identify product demand types. Product attributes are extracted from online reviews and sentiment analysis is carried out. Then a classification model for identifying different attribute demands is proposed. Taking the online review data of four 5G mobile phones as an example, this paper analyzes consumers’ attribute demands of 5G mobile phone products, which are divided into four types: one-dimension demand, must-be demand, attractive demand and indifferent demand. The importance degree and the to-be-improved degree of the attributes of 5G mobile phones are ranked by satisfaction degree and attention degree.

Key words: online review, Kano model, product demand, emotional analysis

Zhang Zhengang, Luo Taiye. Product Demand Analysis Based on Online Review Data Mining and Kano Model[J]. Management Review, 2022, 34(11): 109-117.

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