Research on the Demand Hierarchy of E-Commerce Products Based on Text Mining and the IPA-KANO Model

In the current era of rapid growth in e-commerce, understanding consumer demand is crucial and also the core of enhancing market competitiveness. This study integrates text mining technology and IPA-KANO model to create a comprehensive system for analyzing the demand hierarchy of e-commerce products. This study uses text mining to collect, process, and analyze consumer evaluation data, uncovering the basic needs of consumers. By integrating the IPA matrix and KANO model to analyze user needs, basic needs, necessary needs, and attractive needs are distinguished. The text analysis results are combined with the IPA-KANO framework to construct a hierarchy of needs and response mechanisms, providing specific data support for product iteration. Research shows that this method helps to uncover users' deep-seated needs, assist e-commerce companies in customizing precise marketing plans and product upgrade paths, and strengthen the e-commerce platform's ability in market competition.