Abstract: With the formation of global green trade barriers, China, as the world's largest producer of electronic products, has missing or incomplete data on electronic product lists, which brings challenges to analysis and evaluation. In order to solve this problem, proposes an intelligent completion method for electronic product inventory data based on support vector machine. Based on Word2Vec and support vector machine, the method uses the vectorized result of the inventory data of electronic products as the input of the support vector machine, and uses this method to predict and complete the missing or incomplete inventory data. Experimental results show that the proposed method has achieved remarkable results in improving the integrity of inventory data, and provides a more reliable data basis for the life cycle assessment of electronic products.

Key words: Electronic product inventory data, Support vector machine, Word2Vec, Intelligent completion