A PTM-Based Framework for Enhanced User Requirement Classification in Product Design
Zhiwei Zhang,
Yajie Dou,
Xiangqian Xu
et al.
Abstract:Accurately identifying and classifying customer requirements is crucial for successful product design. However, traditional methods for requirement classification, such as Kano models based on questionnaires, can be time-consuming and may not capture all requirements accurately. Analyzing large volumes of user reviews using simple natural language processing techniques can also result in accuracy issues. To address these challenges, we propose a framework that combines pre-trained models (PTMs), Kano models, a… Show more
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