Abstract: The accuracy of user intent perception is the key to innovative design. The research methods of traditional user intent are time-consuming and prone to overlooking some of important factors. User intent is proposed to be a factor set of user expectations for an object, and all the factors are hidden in the object-relational massive data distributed on the internet which can be achieved by text mining technology. The equal value relation between user intent and factor set is proved by a pro and con questionnaire survey. Meanwhile, the factors acquired by text mining are testified to have advantage over traditional methods. The feasibility of the above-mentioned proposal is verified by taking wearable intelligent devices as a study, and the result is approving. The method proposed in this paper is applicable to all modeling and solving of complex objects which is similar to user intent.