Design Demand Trend Acquisition Method Based on Short Text Mining of User Comments in Shopping Websites

In order to facilitate designers explore the market demand trend of laptops and establish a better “network users-market feedback mechanism”, we propose design research method short text mining tool based on K-means clustering algorithm Kano mode. An improved is used extract elements laptops. Based traditional questionnaire, user’s attention factors, score emotional tendency, analyze needs model. Then, select 10 laptops, process them by algorithm, cluster evaluation words quantify orientation matching. obtained data, visual interaction logic usability test. These prove that proposed feasible effective.