Design strategy of Bluetooth headset based on reviews to explore consumer preferences

• 1、Economics and Management School,Nanjing Tech University,Nanjing 211816

Abstract：Objective The purpose of this study was to mine consumer preference information from online review data in order to explore the improvement strategy of Bluetooth headset design. Methods The Python crawler tool was used to capture consumer comments, and the research topic and demand keywords were located through data mining and text analysis. Based on the theory of consumer preference, the emotion analysis and demand description were carried out for product functional attributes, and the Mixed logit model was used to extract consumer preference characteristics, so as to seek the optimal design strategy. Results Through quantitative empirical research, the significant expression of preference characteristic parameters was analyzed by regression, and an example of Bluetooth headset improvement strategy was generated, and its feasibility was verified by satisfaction test. Conclusion The combination of review mining and Mixed-logit model can not only design the product design scBluetooth Headset Design Strategy Based on Mining Consumer Preferences from Reviewsheme with consumer preBluetooth Headset Design Strategy Based on Mining Consumer Preferences from Reviewsference as the core, but also provide guidance and suggestions for the improvement of related product design strategies, which has a certain degree of innovation and practicality.

Keywords： Industrial design；Bluetooth headset Comment mining Consumer preference Mixed-logit model Product design strategy