The invention discloses a method for analyzing a matching degree between a demand and an output result based on text
semantics. The method comprises the following steps: step 1, labeling a
data set; step 2, technical document preprocessing; 3, training and predicting a single-parameter model; 4, integrating prediction results of the multi-parameter model; the method has the beneficial effects thatthe method is simple;
deep learning and the NLP technology are applied to the field of project association degree calculation of enterprise
project management for the first time. Calculating an association matching degree between the two projects according to project requirements and result description; the associated project positioning difficulty is effectively reduced; meanwhile, the
demand side can be helped to quickly and efficiently locate high-quality projects adapting to the demand of the
demand side; time and resource investment for achievement screening and matching are greatly reduced, the association matching degree between projects is calculated by means of text data of existing project achievement technical documents and project
declaration guidelines, and then large enterprises are assisted in screening high-quality projects with the high matching degree in the project bidding and tendering link.