面向企业模糊型技术需求的信息融合方法研究

chieving the accurate matching of demand and supply is the key to the integration of industry and education, which is of great significance to the transformation of scientific and technological achievements and technological innovation. However, when enterprises release technical requirements, due to trade secret protection and other reasons, the text description of technical requirements is often ambiguous, and it is difficult to accurately match the technical supply. Based on this, a two-stage model for the fuzzy technical requirements of enterprises was designed, firstly, the BERT+BiLSTM+CRF algorithm was used to extract the demand entities in the enterprise release projects, then the relevant patent achievements were crawled by mining the basic information of the enterprise, combined with the demand entities as the search conditions, and the keywords in the patents were obtained as supplementary information through the TF-IDF algorithm, so as to accurately describe the technical requirements, and identify the focus direction and development frontier of the technology, and finally the complete processing process of the method was demonstrated with an example.