The work aims to make innovative improvements to solve the pain points of electric toothbrush in cleaning in view of that oral hygiene and health have attracted more and more attention. Firstly, the web crawler technology was used to collect user comments, and the research topics and requirements criteria were located by co-occurrence analysis and semantic network analysis, which were extracted as the target layer and criterion layer of AHP. Based on the TRIZ theory, the technology of existing product was analyzed and corresponding problem was described. Object field model and physical and technical contradictions were applied to improve the solution process to generate the preliminary schemes and extract them as scheme layer. Finally, the hierarchical structure model was constructed and the AHP method was used to seek the optimal solution of the scheme. After the optimal weight value of the scheme was calculated through TRIZ theory and quantitative analysis, an efficient and clean electric toothbrush was designed, and the product design effect diagram was generated. The combination of comment mining and TRIZ-AHP model can not only break through the limitations of a single theory in design, but also provide assistance and guidance for the innovative design of related products.