Abstract
Using the massive data of user requirements on the crowdsourcing platform to unearth potential user requirements, and solve problems about the lack of product conceptual design inspirations and low efficiency, a method for analyzing and evaluating massive user requirements based on the crowdsourcing platform is proposed. This research uses Semantic Discrimination Lexicon (SDL), combining with the KANO model and entropy method, to perform analysis of attribute categories and evaluation of importance on user requirement items extracted from user requirements of a crowdsourcing platform. And then, it helps product designers unearth potential user requirement items from massive data of user requirements, obtain design inspirations, and support concept design of products.
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