Product design knowledge document categorization based on decision tree & SVM

To precisely allocate the massive old Product Design Knowledge Document(PDKD) and construct the knowledge base of product design,the PDKD categorization method based on decision tree and Support Vector Machine(SVM) was put forward.For the application of the PDKD categorization method,the preprocessing of sample data was obtained by word segmentation,characteristics extraction,characteristics combination and vector expression of the PDKD.In the categorization algorithm,multiple SVMs were constructed in turn with binary decision tree to categorize the sample data to improve the categorization processing efficiency.Then the last category was judged to avoid the former categorizer's misjudgment due to lack of trainings,thus the categorization processing accuracy was ensured.Finally,the validity of the categorization method was proved by the verification of the categorization evaluation theory.The feasibility and practicality of the above-mentioned method were approved by an application case of the enterprise information project.