Abstract

For the group's cognitive-kansei information, that is, the user's kansei expression of products, the existing research, and practical application are relatively limited. This paper combines big data with cognitive-kansei information acquisition in kansei engineering and extracts cognitive-kansei information from a large number of texts. This method can improve the efficiency of collecting cognitive-kansei information, can truly reflect the group's cognition, and has objectivity. Taking UAV as an example, the effectiveness of the method of group cognitive-kansei information acquisition based on big data is verified.

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